metadata.json

{
    "title": "Five Thirty Eight",
    "license": "CC Attribution 4.0 License",
    "license_url": "https://creativecommons.org/licenses/by/4.0/",
    "source": "fivethirtyeight/data on GitHub",
    "source_url": "https://github.com/fivethirtyeight/data",
    "about": "simonw/fivethirtyeight-datasette",
    "about_url": "https://github.com/simonw/fivethirtyeight-datasette",
    "databases": {
        "fivethirtyeight": {
            "tables": {
                "tenth-circuit/tenth-circuit": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/for-a-trump-nominee-neil-gorsuchs-record-is-surprisingly-moderate-on-immigration\">For A Trump Nominee, Neil Gorsuch\u2019s Record Is Surprisingly Moderate On Immigration</a></p>\n<p><code>tenth-circuit.csv</code> contains Tenth Circuit cases decided during Gorsuch\u2019s tenure.</p>\n<table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Name</td>\n<td>Name of the case</td>\n</tr>\n<tr>\n<td>Date</td>\n<td>Date of decision</td>\n</tr>\n<tr>\n<td>Federal Reporter Citation</td>\n<td>Case citation, as listed in the Federal Reporter Series</td>\n</tr>\n<tr>\n<td>Westlaw Citation</td>\n<td>Case citation, Westlaw format</td>\n</tr>\n<tr>\n<td>Issue</td>\n<td>Issue number, in cases divided into multiple issues</td>\n</tr>\n<tr>\n<td>Weight</td>\n<td>Weight per issue (total weight per case equals one)</td>\n</tr>\n<tr>\n<td>Judge1</td>\n<td>Name of first judge</td>\n</tr>\n<tr>\n<td>Judge2</td>\n<td>Name of second judge</td>\n</tr>\n<tr>\n<td>Judge3</td>\n<td>Name of third judge</td>\n</tr>\n<tr>\n<td>Vote1</td>\n<td>Vote of first judge. 1 = liberal, 0 = conservative.</td>\n</tr>\n<tr>\n<td>Vote2</td>\n<td>Vote of second judge. 1 = liberal, 0 = conservative.</td>\n</tr>\n<tr>\n<td>Vote3</td>\n<td>Vote of third judge. 1 = liberal, 0 = conservative.</td>\n</tr>\n<tr>\n<td>Category</td>\n<td>Category of case, immigration or discrimination</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> In immigration cases, partial relief to immigration petitioner is coded as liberal because the petitioner typically seeks just one core remedy (e.g., withholding of removal, adjustment of status, or asylum); in discrimination cases, partial relief is coded as multiple issues because the plaintiff often seeks separate remedies under multiple claims (e.g., disparate treatment, retaliation, etc.) and different sources of law.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/tenth-circuit/tenth-circuit.csv",
                    "title": "Cases in the Tenth Circuit Court of Appeals: tenth-circuit.csv"
                },
                "polls/pres_primary_avgs_1980-2016": {
                    "description_html": "<hr />\n<p>files:\n  - https://projects.fivethirtyeight.com/polls-page/president_primary_polls.csv\n  - https://projects.fivethirtyeight.com/polls-page/president_polls.csv\n  - https://projects.fivethirtyeight.com/polls-page/senate_polls.csv\n  - https://projects.fivethirtyeight.com/polls-page/house_polls.csv\n  - https://projects.fivethirtyeight.com/polls-page/governor_polls.csv\n  - https://projects.fivethirtyeight.com/polls-page/president_approval_polls.csv\n  - https://projects.fivethirtyeight.com/polls-page/generic_ballot_polls.csv\n  - https://projects.fivethirtyeight.com/2020-primary-data/pres_primary_avgs_2020.csv\n  - https://projects.fivethirtyeight.com/2020-general-data/presidential_poll_averages_2020.csv</p>\n<hr />\n<p>This file contains links to the polling data behind our <a href=\"https://projects.fivethirtyeight.com/polls/\">Latest Polls</a> dashboard.</p>\n<h2>Polls</h2>\n<ul>\n<li><a href=\"https://projects.fivethirtyeight.com/polls-page/president_primary_polls.csv\">Presidential Primary Polls</a></li>\n<li><a href=\"https://projects.fivethirtyeight.com/polls-page/president_polls.csv\">Presidential General Election Polls</a></li>\n<li><a href=\"https://projects.fivethirtyeight.com/polls-page/senate_polls.csv\">Senate Polls</a></li>\n<li><a href=\"https://projects.fivethirtyeight.com/polls-page/house_polls.csv\">House Polls</a></li>\n<li><a href=\"https://projects.fivethirtyeight.com/polls-page/governor_polls.csv\">Governor Polls</a></li>\n<li><a href=\"https://projects.fivethirtyeight.com/polls-page/president_approval_polls.csv\">Presidential Approval Polls</a></li>\n<li><a href=\"https://projects.fivethirtyeight.com/polls-page/generic_ballot_polls.csv\">Generic Ballot Polls</a></li>\n</ul>\n<h2>Polling Averages</h2>\n<ul>\n<li><a href=\"https://projects.fivethirtyeight.com/2020-primary-data/pres_primary_avgs_2020.csv\">Presidential Primary Polling Averages (2020)</a></li>\n<li><a href=\"./pres_primary_avgs_1980-2016.csv\">Presidential Primary Polling Averages (1980-2016)</a></li>\n<li><a href=\"https://projects.fivethirtyeight.com/2020-general-data/presidential_poll_averages_2020.csv\">Presidential General Election Polling Averages (2020)</a></li>\n<li><a href=\"./pres_pollaverages_1968-2016.csv\">Presidential General Election Polling Averages (1968-2016)</a></li>\n</ul>\n<p>Please see <a href=\"https://fivethirtyeight.com/features/what-makes-our-new-2020-democratic-primary-polling-averages-different/\">What Makes Our New 2020 Democratic Primary Polling Averages Different</a> for more information about the methodology used to calculate polling averages. For more information about the general election polling averages, please see <a href=\"https://fivethirtyeight.com/features/our-new-polling-averages-show-biden-leads-trump-by-9-points-nationally/\">Our New Polling Averages Show Biden Leads Trump By 9 Points Nationally\n</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/polls/pres_primary_avgs_1980-2016.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "polls/pres_pollaverages_1968-2016": {
                    "description_html": "<hr />\n<p>files:\n  - https://projects.fivethirtyeight.com/polls-page/president_primary_polls.csv\n  - https://projects.fivethirtyeight.com/polls-page/president_polls.csv\n  - https://projects.fivethirtyeight.com/polls-page/senate_polls.csv\n  - https://projects.fivethirtyeight.com/polls-page/house_polls.csv\n  - https://projects.fivethirtyeight.com/polls-page/governor_polls.csv\n  - https://projects.fivethirtyeight.com/polls-page/president_approval_polls.csv\n  - https://projects.fivethirtyeight.com/polls-page/generic_ballot_polls.csv\n  - https://projects.fivethirtyeight.com/2020-primary-data/pres_primary_avgs_2020.csv\n  - https://projects.fivethirtyeight.com/2020-general-data/presidential_poll_averages_2020.csv</p>\n<hr />\n<p>This file contains links to the polling data behind our <a href=\"https://projects.fivethirtyeight.com/polls/\">Latest Polls</a> dashboard.</p>\n<h2>Polls</h2>\n<ul>\n<li><a href=\"https://projects.fivethirtyeight.com/polls-page/president_primary_polls.csv\">Presidential Primary Polls</a></li>\n<li><a href=\"https://projects.fivethirtyeight.com/polls-page/president_polls.csv\">Presidential General Election Polls</a></li>\n<li><a href=\"https://projects.fivethirtyeight.com/polls-page/senate_polls.csv\">Senate Polls</a></li>\n<li><a href=\"https://projects.fivethirtyeight.com/polls-page/house_polls.csv\">House Polls</a></li>\n<li><a href=\"https://projects.fivethirtyeight.com/polls-page/governor_polls.csv\">Governor Polls</a></li>\n<li><a href=\"https://projects.fivethirtyeight.com/polls-page/president_approval_polls.csv\">Presidential Approval Polls</a></li>\n<li><a href=\"https://projects.fivethirtyeight.com/polls-page/generic_ballot_polls.csv\">Generic Ballot Polls</a></li>\n</ul>\n<h2>Polling Averages</h2>\n<ul>\n<li><a href=\"https://projects.fivethirtyeight.com/2020-primary-data/pres_primary_avgs_2020.csv\">Presidential Primary Polling Averages (2020)</a></li>\n<li><a href=\"./pres_primary_avgs_1980-2016.csv\">Presidential Primary Polling Averages (1980-2016)</a></li>\n<li><a href=\"https://projects.fivethirtyeight.com/2020-general-data/presidential_poll_averages_2020.csv\">Presidential General Election Polling Averages (2020)</a></li>\n<li><a href=\"./pres_pollaverages_1968-2016.csv\">Presidential General Election Polling Averages (1968-2016)</a></li>\n</ul>\n<p>Please see <a href=\"https://fivethirtyeight.com/features/what-makes-our-new-2020-democratic-primary-polling-averages-different/\">What Makes Our New 2020 Democratic Primary Polling Averages Different</a> for more information about the methodology used to calculate polling averages. For more information about the general election polling averages, please see <a href=\"https://fivethirtyeight.com/features/our-new-polling-averages-show-biden-leads-trump-by-9-points-nationally/\">Our New Polling Averages Show Biden Leads Trump By 9 Points Nationally\n</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/polls/pres_pollaverages_1968-2016.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "early-senate-polls/early-senate-polls": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/early-senate-polls-have-plenty-to-tell-us-about-november/\">Early Senate Polls Have Plenty to Tell Us About November</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/early-senate-polls/early-senate-polls.csv",
                    "title": "Early Senate Polls: early-senate-polls.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "star-wars-survey/StarWars": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/americas-favorite-star-wars-movies-and-least-favorite-characters/\">America\u2019s Favorite \u2018Star Wars\u2019 Movies (And Least Favorite Characters)</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/star-wars-survey/StarWars.csv",
                    "title": "Star Wars Survey: StarWars.csv"
                },
                "science-giving/science_federal_giving": {
                    "description_html": "<p>This directory contains the data behind the story <a href=\"https://fivethirtyeight.com/features/when-scientists-donate-to-politicians-its-usually-to-democrats\">When Scientists Donate To Politicians, It\u2019s Usually To Democrats</a>.</p>\n<p>The data in <code>science_federal_giving.csv</code> is from the Federal Election Commission, filtered to donations form the following occupations from 2007 to 2016: \n<em> computer and information scientists\n</em> mathematical scientists\n<em> agricultural and food scientists\n</em> biological and medical scientists\n<em> environmental life scientists\n</em> chemists\n<em> Earth scientists, geologists and oceanographers\n</em> physicists and astronomers\n<em> other physical and related scientists\n</em> aerospace, aeronautical or astronautical engineers\n<em> chemical engineers\n</em> civil, architectural or sanitary engineers\n<em> electrical or computer hardware engineers\n</em> industrial engineers\n<em> mechanical engineers\n</em> other engineers\n* statisticians</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>cmte_nm</code></td>\n<td>Committee name</td>\n</tr>\n<tr>\n<td><code>cmte_id</code></td>\n<td>Committee identification, assigned</td>\n</tr>\n<tr>\n<td><code>cmte_tp</code></td>\n<td>Committee type. <a href=\"http://www.fec.gov/finance/disclosure/metadata/CommitteeTypeCodes.shtml\">List of committee type codes</a></td>\n</tr>\n<tr>\n<td><code>cmte_pty</code></td>\n<td>Committee party. <a href=\"http://www.fec.gov/finance/disclosure/metadata/DataDictionaryPartyCodeDescriptions.shtml\">List of party codes</a></td>\n</tr>\n<tr>\n<td><code>cand_name</code></td>\n<td>Candidate name</td>\n</tr>\n<tr>\n<td><code>cand_pty_affiliation</code></td>\n<td>Political party affiliation reported by the candidate</td>\n</tr>\n<tr>\n<td><code>cand_office_st</code></td>\n<td>Candidate state</td>\n</tr>\n<tr>\n<td><code>cand_office</code></td>\n<td>Candidate office. H = House, P = President, S = Senate</td>\n</tr>\n<tr>\n<td><code>cand_office_district</code></td>\n<td>Candidate district</td>\n</tr>\n<tr>\n<td><code>cand_status</code></td>\n<td>Candidate status. C = Statutory candidate, F = Statutory candidate for future election, N = Not yet a statutory candidate, P = Statutory candidate in prior cycle</td>\n</tr>\n<tr>\n<td><code>rpt_tp</code></td>\n<td>Report type. <a href=\"http://www.fec.gov/finance/disclosure/metadata/ReportTypeCodes.shtml\">Report type codes</a></td>\n</tr>\n<tr>\n<td><code>transaction_pgi</code></td>\n<td>The code for which the contribution was made. EYYYY (election plus election year). P = Primary, G = General, O = Other, C = Convention, R = Runoff, S = Special, E = Recount</td>\n</tr>\n<tr>\n<td><code>transaction_tp</code></td>\n<td>Transaction type. <a href=\"http://www.fec.gov/finance/disclosure/metadata/DataDictionaryTransactionTypeCodes.shtml\">Type codes</a></td>\n</tr>\n<tr>\n<td><code>entity_tp</code></td>\n<td>Entity type. Only valid for electronic filings received after April 2002. CAN = Candidate, CCM = Candidate Committee, COM = Committee, IND = Individual (a person), ORG = Organization (not a committee and not a person), PAC = Political Action Committee, PTY = Party Organization</td>\n</tr>\n<tr>\n<td><code>cleaned_name</code></td>\n<td>Contributor/lender/transfer name</td>\n</tr>\n<tr>\n<td><code>city</code></td>\n<td>City/town</td>\n</tr>\n<tr>\n<td><code>state</code></td>\n<td>State</td>\n</tr>\n<tr>\n<td><code>zip_code</code></td>\n<td>Zip code</td>\n</tr>\n<tr>\n<td><code>employer</code></td>\n<td>Employer</td>\n</tr>\n<tr>\n<td><code>cleaned_occupation</code></td>\n<td>Occupation</td>\n</tr>\n<tr>\n<td><code>classification</code></td>\n<td>Classification of occupation</td>\n</tr>\n<tr>\n<td><code>transaction_dt</code></td>\n<td>Transaction date (MMDDYYYY)</td>\n</tr>\n<tr>\n<td><code>cycle</code></td>\n<td>Election cycle</td>\n</tr>\n<tr>\n<td><code>transaction_amt</code></td>\n<td>Transaction amount</td>\n</tr>\n<tr>\n<td><code>2016_dollars</code></td>\n<td>Transation amount adjusted for inflation</td>\n</tr>\n<tr>\n<td><code>other_id</code></td>\n<td>Other identification number. For contributions from individuals this column is null. For contributions from candidates or other committees this column will contain that contributor's FEC ID.</td>\n</tr>\n<tr>\n<td><code>tran_id</code></td>\n<td>Transaction ID</td>\n</tr>\n<tr>\n<td><code>file_num</code></td>\n<td>A unique identifier associated with each itemization or transaction appearing in an FEC electronic file. Only valid for electronic filings.</td>\n</tr>\n<tr>\n<td><code>memo_cd</code></td>\n<td>'X' indicates that the amount is not to be included in the itemization total.</td>\n</tr>\n<tr>\n<td><code>memo_text</code></td>\n<td>A description of the activity.</td>\n</tr>\n<tr>\n<td><code>sub_id</code></td>\n<td>FEC record number</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://www.fec.gov/\">Federal Election Commission</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/science-giving/science_federal_giving.csv",
                    "title": "Science Giving: science_federal_giving.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "august-senate-polls/august_senate_polls": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/how-much-trouble-is-ted-cruz-really-in/\">How Much Trouble Is Ted Cruz Really In?\n</a></p>\n<p><code>august_senate_polls.csv</code> contains every senate poll in our database from 1990 to 2016 that was conducted in the month of August along with the results of the election corresponding to each poll and the average error of each poll.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/august-senate-polls/august_senate_polls.csv",
                    "title": "August Senate Polls: august_senate_polls.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "state-of-the-state/index": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/what-americas-governors-are-talking-about/\">What America\u2019s Governors Are Talking About</a>.</p>\n<p><code>index.csv</code> contains a listing of each of the 50 speeches, one for each state as well as the name and party of the state's governor and a link to an official source for the speech. If an official government source could not be found, we have linked to a news media source that had a transcript of the speech.</p>\n<p>The <code>speeches/</code> folder contains 50 <code>.txt</code> files containing the text of each of the speeches.</p>\n<p><code>words.csv</code> contains every one-word phrase that was mentioned in at least 10 speeches and every two- or three-word phrase that was mentioned in at least five speeches after a list of stop-words was removed and the word \"healthcare\" was replaced with \"health care\" so that they were not counted as distinct phrases. It also contains the results of a <a href=\"https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html#sklearn.feature_selection.chi2\">chi^2 test</a> that shows the statistical significance of and associated p-value of phrases.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>n-gram</code></td>\n<td>one-, two- or three-word phrase</td>\n</tr>\n<tr>\n<td><code>category</code></td>\n<td>thematic categories for n-grams hand-coded by FiveThirtyEight staff: <code>economy/fiscal issues</code>, <code>education</code>, <code>health care</code>, <code>energy/environment</code>, <code>crime/justice</code>, <code>mental health/substance abuse</code></td>\n</tr>\n<tr>\n<td><code>d_speeches</code></td>\n<td>number of Democratic speeches containing the n-gram</td>\n</tr>\n<tr>\n<td><code>r_speeches</code></td>\n<td>number of Republican speeches containing the n-gram</td>\n</tr>\n<tr>\n<td><code>total</code></td>\n<td>total number of speeches containing the n-gram</td>\n</tr>\n<tr>\n<td><code>percent_of_d_speeches</code></td>\n<td>percent of the 23 Democratic speeches containing the phrase</td>\n</tr>\n<tr>\n<td><code>percent_of_r_speeches</code></td>\n<td>percent of the 27 Republican speeches containing the phrase</td>\n</tr>\n<tr>\n<td><code>chi2</code></td>\n<td><a href=\"https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html#sklearn.feature_selection.chi2\">chi^2 statistic</a></td>\n</tr>\n<tr>\n<td><code>pval</code></td>\n<td>p-value for chi^2 test</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/state-of-the-state/index.csv",
                    "title": "State of the State: index.csv"
                },
                "state-of-the-state/words": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/what-americas-governors-are-talking-about/\">What America\u2019s Governors Are Talking About</a>.</p>\n<p><code>index.csv</code> contains a listing of each of the 50 speeches, one for each state as well as the name and party of the state's governor and a link to an official source for the speech. If an official government source could not be found, we have linked to a news media source that had a transcript of the speech.</p>\n<p>The <code>speeches/</code> folder contains 50 <code>.txt</code> files containing the text of each of the speeches.</p>\n<p><code>words.csv</code> contains every one-word phrase that was mentioned in at least 10 speeches and every two- or three-word phrase that was mentioned in at least five speeches after a list of stop-words was removed and the word \"healthcare\" was replaced with \"health care\" so that they were not counted as distinct phrases. It also contains the results of a <a href=\"https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html#sklearn.feature_selection.chi2\">chi^2 test</a> that shows the statistical significance of and associated p-value of phrases.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>n-gram</code></td>\n<td>one-, two- or three-word phrase</td>\n</tr>\n<tr>\n<td><code>category</code></td>\n<td>thematic categories for n-grams hand-coded by FiveThirtyEight staff: <code>economy/fiscal issues</code>, <code>education</code>, <code>health care</code>, <code>energy/environment</code>, <code>crime/justice</code>, <code>mental health/substance abuse</code></td>\n</tr>\n<tr>\n<td><code>d_speeches</code></td>\n<td>number of Democratic speeches containing the n-gram</td>\n</tr>\n<tr>\n<td><code>r_speeches</code></td>\n<td>number of Republican speeches containing the n-gram</td>\n</tr>\n<tr>\n<td><code>total</code></td>\n<td>total number of speeches containing the n-gram</td>\n</tr>\n<tr>\n<td><code>percent_of_d_speeches</code></td>\n<td>percent of the 23 Democratic speeches containing the phrase</td>\n</tr>\n<tr>\n<td><code>percent_of_r_speeches</code></td>\n<td>percent of the 27 Republican speeches containing the phrase</td>\n</tr>\n<tr>\n<td><code>chi2</code></td>\n<td><a href=\"https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html#sklearn.feature_selection.chi2\">chi^2 statistic</a></td>\n</tr>\n<tr>\n<td><code>pval</code></td>\n<td>p-value for chi^2 test</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/state-of-the-state/words.csv",
                    "title": "State of the State: words.csv"
                },
                "urbanization-index/urbanization-census-tract": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/how-urban-or-rural-is-your-state-and-what-does-that-mean-for-the-2020-election/\">\nHow Urban Or Rural Is Your State? And What Does That Mean For The 2020 Election?\n</a></p>\n<p><code>urbanization-state.csv</code> contains FiveThirtyEight's urbanization index for every state. This number is calculated as the natural logarithm of the average number of people living within a five-mile radius of a given resident in each census tract in that state.</p>\n<p><code>urbanization-census-tract.csv</code> contains FiveThirtyEight's urbanization index for every census tract.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>statefips</code></td>\n<td>FIPS code for each state</td>\n</tr>\n<tr>\n<td><code>state</code></td>\n<td>Name of state</td>\n</tr>\n<tr>\n<td><code>gisjoin</code></td>\n<td><a href=\"https://www.nhgis.org/user-resources/geographic-crosswalks\">Geographic Identifier</a> for the census tract from the 2010 census</td>\n</tr>\n<tr>\n<td><code>lat_tract</code></td>\n<td>Latitude of the center of the census tract</td>\n</tr>\n<tr>\n<td><code>long_tract</code></td>\n<td>Longitude of the center of the census tract</td>\n</tr>\n<tr>\n<td><code>population</code></td>\n<td>Number of people living in the census tract according to 5-year American Community Survey data from 2017</td>\n</tr>\n<tr>\n<td><code>adj_radiuspop_5</code></td>\n<td>Estimate of the number of people within a 5-mile radius of a census tract. For a census tract that is more than 5 miles away any other census tract (centroid to centroid), this number is decreased based on the minimum distance to the nearest census tract</td>\n</tr>\n<tr>\n<td><code>urbanindex</code></td>\n<td>A calculation of how urban or rural a given area is; calculated as the natural logarithm of <code>adj_radiuspop_5</code></td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/urbanization-index/urbanization-census-tract.csv",
                    "title": "urbanization-index: urbanization-census-tract.csv"
                },
                "urbanization-index/urbanization-state": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/how-urban-or-rural-is-your-state-and-what-does-that-mean-for-the-2020-election/\">\nHow Urban Or Rural Is Your State? And What Does That Mean For The 2020 Election?\n</a></p>\n<p><code>urbanization-state.csv</code> contains FiveThirtyEight's urbanization index for every state. This number is calculated as the natural logarithm of the average number of people living within a five-mile radius of a given resident in each census tract in that state.</p>\n<p><code>urbanization-census-tract.csv</code> contains FiveThirtyEight's urbanization index for every census tract.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>statefips</code></td>\n<td>FIPS code for each state</td>\n</tr>\n<tr>\n<td><code>state</code></td>\n<td>Name of state</td>\n</tr>\n<tr>\n<td><code>gisjoin</code></td>\n<td><a href=\"https://www.nhgis.org/user-resources/geographic-crosswalks\">Geographic Identifier</a> for the census tract from the 2010 census</td>\n</tr>\n<tr>\n<td><code>lat_tract</code></td>\n<td>Latitude of the center of the census tract</td>\n</tr>\n<tr>\n<td><code>long_tract</code></td>\n<td>Longitude of the center of the census tract</td>\n</tr>\n<tr>\n<td><code>population</code></td>\n<td>Number of people living in the census tract according to 5-year American Community Survey data from 2017</td>\n</tr>\n<tr>\n<td><code>adj_radiuspop_5</code></td>\n<td>Estimate of the number of people within a 5-mile radius of a census tract. For a census tract that is more than 5 miles away any other census tract (centroid to centroid), this number is decreased based on the minimum distance to the nearest census tract</td>\n</tr>\n<tr>\n<td><code>urbanindex</code></td>\n<td>A calculation of how urban or rural a given area is; calculated as the natural logarithm of <code>adj_radiuspop_5</code></td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/urbanization-index/urbanization-state.csv",
                    "title": "urbanization-index: urbanization-state.csv"
                },
                "thanksgiving-2015/thanksgiving-2015-poll-data": {
                    "description_html": "<p>This directory contains the data behind the story <a href=\"http://fivethirtyeight.com/features/heres-what-your-part-of-america-eats-on-thanksgiving\">Here\u2019s What Your Part of America Eats On Thanksgiving</a>.</p>\n<p>Using a SurveyMonkey poll, we asked 1,058 respondents on Nov. 17, 2015 the following questions about their Thanksgiving:</p>\n<ul>\n<li>Do you celebrate Thanksgiving?</li>\n<li>What is typically the main dish at your Thanksgiving dinner?  <ul>\n<li>Other (please specify)</li>\n</ul>\n</li>\n<li>How is the main dish typically cooked?<ul>\n<li>Other (please specify)</li>\n</ul>\n</li>\n<li>What kind of stuffing/dressing do you typically have? <ul>\n<li>Other (please specify)</li>\n</ul>\n</li>\n<li>What type of cranberry sauce\u00a0do you typically have?\u00a0<ul>\n<li>Other (please specify)</li>\n</ul>\n</li>\n<li>Do you typically have gravy?</li>\n<li>Which of these side dishes are\u00a0typically served at your Thanksgiving dinner? Please select all that apply.<ul>\n<li>Brussel sprouts</li>\n<li>Carrots</li>\n<li>Cauliflower</li>\n<li>Corn</li>\n<li>Cornbread</li>\n<li>Fruit salad</li>\n<li>Green beans/green bean casserole</li>\n<li>Macaroni and cheese</li>\n<li>Mashed potatoes</li>\n<li>Rolls/biscuits</li>\n<li>Vegetable salad</li>\n<li>Yams/sweet potato casserole</li>\n<li>Other (please specify)</li>\n</ul>\n</li>\n<li>Which type of pie is typically served at your Thanksgiving dinner? Please select all that apply.\u00a0<ul>\n<li>Apple</li>\n<li>Buttermilk</li>\n<li>Cherry</li>\n<li>Chocolate</li>\n<li>Coconut cream</li>\n<li>Key lime</li>\n<li>Peach</li>\n<li>Pecan</li>\n<li>Pumpkin</li>\n<li>Sweet Potato</li>\n<li>None\u00a0</li>\n<li>Other (please specify)</li>\n</ul>\n</li>\n<li>Which of these desserts do you typically have at Thanksgiving dinner? Please select all that apply.<ul>\n<li>Apple cobbler</li>\n<li>Blondies</li>\n<li>Brownies</li>\n<li>Carrot cake</li>\n<li>Cheesecake</li>\n<li>Cookies</li>\n<li>Fudge</li>\n<li>Ice cream</li>\n<li>Peach cobbler</li>\n<li>None</li>\n<li>Other (please specify)</li>\n</ul>\n</li>\n<li>Do you typically pray before or after the Thanksgiving meal?</li>\n<li>How far will you travel for Thanksgiving?</li>\n<li>Will you watch any of the following programs on Thanksgiving? Please select all that apply.\u00a0 <ul>\n<li>Macy's Parade</li>\n</ul>\n</li>\n<li>What's the age cutoff at your \"kids' table\" at Thanksgiving?</li>\n<li>Have you ever tried to meet up with hometown friends on Thanksgiving night?</li>\n<li>Have you ever attended a \"Friendsgiving?\"</li>\n<li>Will you shop any Black Friday sales on Thanksgiving Day?</li>\n<li>Do you work in retail?</li>\n<li>Will you employer make you work on Black Friday?</li>\n<li>How would you describe where you live?\u00a0</li>\n<li>Age</li>\n<li>What is your gender?</li>\n<li>How much total combined money did all members of your HOUSEHOLD earn last year?</li>\n<li>US Region</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/thanksgiving-2015/thanksgiving-2015-poll-data.csv",
                    "title": "Thanksgiving 2015: thanksgiving-2015-poll-data.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "nba-raptor/modern_RAPTOR_by_player": {
                    "description_html": "<hr />\n<p>files:\n  - https://projects.fivethirtyeight.com/nba-model/2020/latest_RAPTOR_by_team.csv\n  - https://projects.fivethirtyeight.com/nba-model/2020/latest_RAPTOR_by_player.csv</p>\n<hr />\n<h1>nba-raptor</h1>\n<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/introducing-raptor-our-new-metric-for-the-modern-nba\">Introducing RAPTOR, Our New Metric For The Modern NBA</a> and the interactive <a href=\"https://projects.fivethirtyeight.com/2020-nba-player-ratings/\">The Best NBA Players This Season, According To RAPTOR</a>.</p>\n<p><code>modern_RAPTOR_by_player.csv</code> contains RAPTOR data for every player broken out by season since 2014, when NBA player-tracking data first became available.</p>\n<p><code>modern_RAPTOR_by_team.csv</code> contains RAPTOR data for every player broken out by team, season and season_type since 2014, when NBA player-tracking data first became available.</p>\n<p>These \"modern\" data files contain the box score and on/off plus-minus components of RAPTOR, which are then combined into a total RAPTOR rating.</p>\n<p><code>historical_RAPTOR_by_player.csv</code> contains RAPTOR data for every player broken out by season since the 1976 ABA-NBA merger.</p>\n<p><code>historical_RAPTOR_by_team.csv</code> contains RAPTOR data for every player broken out by team, season and season_type since the 1976 ABA-NBA merger.</p>\n<p>These \"historical\" data files use full player-tracking RAPTOR for seasons since 2014, a version of RAPTOR that mixes box score value estimates with single-year regularized plus-minus data for seasons from 2001 through 2013, and a version of RAPTOR that only uses a box score estimate of value for the seasons from 1977 through 2000. In each era, the RAPTOR version with the highest level of detail is the version used.</p>\n<p>The linked file <code>latest_RAPTOR_by_player.csv</code> contains RAPTOR data for every player in the 2019-20 season.</p>\n<p>The linked file <code>latest_RAPTOR_by_team.csv</code> contains RAPTOR data for every player broken out by team, season and season_type for the 2019-20 season.</p>\n<p>These \"latest\" data files contain the box score and on/off plus-minus components of RAPTOR, which are then combined into a total RAPTOR rating.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>player_name</code></td>\n<td>Player name</td>\n</tr>\n<tr>\n<td><code>player_id</code></td>\n<td>Basketball-Reference.com player ID</td>\n</tr>\n<tr>\n<td><code>season</code></td>\n<td>Season</td>\n</tr>\n<tr>\n<td><code>season_type</code></td>\n<td>Regular season (RS) or playoff (PO)</td>\n</tr>\n<tr>\n<td><code>team</code></td>\n<td>Basketball-Reference ID of team</td>\n</tr>\n<tr>\n<td><code>poss</code></td>\n<td>Possessions played</td>\n</tr>\n<tr>\n<td><code>mp</code></td>\n<td>Minutes played</td>\n</tr>\n<tr>\n<td><code>raptor_box_offense</code></td>\n<td>Points above average per 100 possessions added by player on offense, based only on box score estimate</td>\n</tr>\n<tr>\n<td><code>raptor_box_defense</code></td>\n<td>Points above average per 100 possessions added by player on defense, based only on box score estimate</td>\n</tr>\n<tr>\n<td><code>raptor_box_total</code></td>\n<td>Points above average per 100 possessions added by player, based only on box score estimate</td>\n</tr>\n<tr>\n<td><code>raptor_onoff_offense</code></td>\n<td>Points above average per 100 possessions added by player on offense, based only on plus-minus data</td>\n</tr>\n<tr>\n<td><code>raptor_onoff_defense</code></td>\n<td>Points above average per 100 possessions added by player on defense, based only on plus-minus data</td>\n</tr>\n<tr>\n<td><code>raptor_onoff_total</code></td>\n<td>Points above average per 100 possessions added by player, based only on plus-minus data</td>\n</tr>\n<tr>\n<td><code>raptor_offense</code></td>\n<td>Points above average per 100 possessions added by player on offense, using both box and on-off components</td>\n</tr>\n<tr>\n<td><code>raptor_defense</code></td>\n<td>Points above average per 100 possessions added by player on defense, using both box and on-off components</td>\n</tr>\n<tr>\n<td><code>raptor_total</code></td>\n<td>Points above average per 100 possessions added by player on both offense and defense, using both box and on-off components</td>\n</tr>\n<tr>\n<td><code>war_total</code></td>\n<td>Wins Above Replacement between regular season and playoffs</td>\n</tr>\n<tr>\n<td><code>war_reg_season</code></td>\n<td>Wins Above Replacement for regular season</td>\n</tr>\n<tr>\n<td><code>war_playoffs</code></td>\n<td>Wins Above Replacement for playoffs</td>\n</tr>\n<tr>\n<td><code>predator_offense</code></td>\n<td>Predictive points above average per 100 possessions added by player on offense</td>\n</tr>\n<tr>\n<td><code>predator_defense</code></td>\n<td>Predictive points above average per 100 possessions added by player on defense</td>\n</tr>\n<tr>\n<td><code>predator_total</code></td>\n<td>Predictive points above average per 100 possessions added by player on both offense and defense</td>\n</tr>\n<tr>\n<td><code>pace_impact</code></td>\n<td>Player impact on team possessions per 48 minutes</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nba-raptor/modern_RAPTOR_by_player.csv"
                },
                "nba-raptor/modern_RAPTOR_by_team": {
                    "description_html": "<hr />\n<p>files:\n  - https://projects.fivethirtyeight.com/nba-model/2020/latest_RAPTOR_by_team.csv\n  - https://projects.fivethirtyeight.com/nba-model/2020/latest_RAPTOR_by_player.csv</p>\n<hr />\n<h1>nba-raptor</h1>\n<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/introducing-raptor-our-new-metric-for-the-modern-nba\">Introducing RAPTOR, Our New Metric For The Modern NBA</a> and the interactive <a href=\"https://projects.fivethirtyeight.com/2020-nba-player-ratings/\">The Best NBA Players This Season, According To RAPTOR</a>.</p>\n<p><code>modern_RAPTOR_by_player.csv</code> contains RAPTOR data for every player broken out by season since 2014, when NBA player-tracking data first became available.</p>\n<p><code>modern_RAPTOR_by_team.csv</code> contains RAPTOR data for every player broken out by team, season and season_type since 2014, when NBA player-tracking data first became available.</p>\n<p>These \"modern\" data files contain the box score and on/off plus-minus components of RAPTOR, which are then combined into a total RAPTOR rating.</p>\n<p><code>historical_RAPTOR_by_player.csv</code> contains RAPTOR data for every player broken out by season since the 1976 ABA-NBA merger.</p>\n<p><code>historical_RAPTOR_by_team.csv</code> contains RAPTOR data for every player broken out by team, season and season_type since the 1976 ABA-NBA merger.</p>\n<p>These \"historical\" data files use full player-tracking RAPTOR for seasons since 2014, a version of RAPTOR that mixes box score value estimates with single-year regularized plus-minus data for seasons from 2001 through 2013, and a version of RAPTOR that only uses a box score estimate of value for the seasons from 1977 through 2000. In each era, the RAPTOR version with the highest level of detail is the version used.</p>\n<p>The linked file <code>latest_RAPTOR_by_player.csv</code> contains RAPTOR data for every player in the 2019-20 season.</p>\n<p>The linked file <code>latest_RAPTOR_by_team.csv</code> contains RAPTOR data for every player broken out by team, season and season_type for the 2019-20 season.</p>\n<p>These \"latest\" data files contain the box score and on/off plus-minus components of RAPTOR, which are then combined into a total RAPTOR rating.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>player_name</code></td>\n<td>Player name</td>\n</tr>\n<tr>\n<td><code>player_id</code></td>\n<td>Basketball-Reference.com player ID</td>\n</tr>\n<tr>\n<td><code>season</code></td>\n<td>Season</td>\n</tr>\n<tr>\n<td><code>season_type</code></td>\n<td>Regular season (RS) or playoff (PO)</td>\n</tr>\n<tr>\n<td><code>team</code></td>\n<td>Basketball-Reference ID of team</td>\n</tr>\n<tr>\n<td><code>poss</code></td>\n<td>Possessions played</td>\n</tr>\n<tr>\n<td><code>mp</code></td>\n<td>Minutes played</td>\n</tr>\n<tr>\n<td><code>raptor_box_offense</code></td>\n<td>Points above average per 100 possessions added by player on offense, based only on box score estimate</td>\n</tr>\n<tr>\n<td><code>raptor_box_defense</code></td>\n<td>Points above average per 100 possessions added by player on defense, based only on box score estimate</td>\n</tr>\n<tr>\n<td><code>raptor_box_total</code></td>\n<td>Points above average per 100 possessions added by player, based only on box score estimate</td>\n</tr>\n<tr>\n<td><code>raptor_onoff_offense</code></td>\n<td>Points above average per 100 possessions added by player on offense, based only on plus-minus data</td>\n</tr>\n<tr>\n<td><code>raptor_onoff_defense</code></td>\n<td>Points above average per 100 possessions added by player on defense, based only on plus-minus data</td>\n</tr>\n<tr>\n<td><code>raptor_onoff_total</code></td>\n<td>Points above average per 100 possessions added by player, based only on plus-minus data</td>\n</tr>\n<tr>\n<td><code>raptor_offense</code></td>\n<td>Points above average per 100 possessions added by player on offense, using both box and on-off components</td>\n</tr>\n<tr>\n<td><code>raptor_defense</code></td>\n<td>Points above average per 100 possessions added by player on defense, using both box and on-off components</td>\n</tr>\n<tr>\n<td><code>raptor_total</code></td>\n<td>Points above average per 100 possessions added by player on both offense and defense, using both box and on-off components</td>\n</tr>\n<tr>\n<td><code>war_total</code></td>\n<td>Wins Above Replacement between regular season and playoffs</td>\n</tr>\n<tr>\n<td><code>war_reg_season</code></td>\n<td>Wins Above Replacement for regular season</td>\n</tr>\n<tr>\n<td><code>war_playoffs</code></td>\n<td>Wins Above Replacement for playoffs</td>\n</tr>\n<tr>\n<td><code>predator_offense</code></td>\n<td>Predictive points above average per 100 possessions added by player on offense</td>\n</tr>\n<tr>\n<td><code>predator_defense</code></td>\n<td>Predictive points above average per 100 possessions added by player on defense</td>\n</tr>\n<tr>\n<td><code>predator_total</code></td>\n<td>Predictive points above average per 100 possessions added by player on both offense and defense</td>\n</tr>\n<tr>\n<td><code>pace_impact</code></td>\n<td>Player impact on team possessions per 48 minutes</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nba-raptor/modern_RAPTOR_by_team.csv"
                },
                "nba-raptor/historical_RAPTOR_by_team": {
                    "description_html": "<hr />\n<p>files:\n  - https://projects.fivethirtyeight.com/nba-model/2020/latest_RAPTOR_by_team.csv\n  - https://projects.fivethirtyeight.com/nba-model/2020/latest_RAPTOR_by_player.csv</p>\n<hr />\n<h1>nba-raptor</h1>\n<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/introducing-raptor-our-new-metric-for-the-modern-nba\">Introducing RAPTOR, Our New Metric For The Modern NBA</a> and the interactive <a href=\"https://projects.fivethirtyeight.com/2020-nba-player-ratings/\">The Best NBA Players This Season, According To RAPTOR</a>.</p>\n<p><code>modern_RAPTOR_by_player.csv</code> contains RAPTOR data for every player broken out by season since 2014, when NBA player-tracking data first became available.</p>\n<p><code>modern_RAPTOR_by_team.csv</code> contains RAPTOR data for every player broken out by team, season and season_type since 2014, when NBA player-tracking data first became available.</p>\n<p>These \"modern\" data files contain the box score and on/off plus-minus components of RAPTOR, which are then combined into a total RAPTOR rating.</p>\n<p><code>historical_RAPTOR_by_player.csv</code> contains RAPTOR data for every player broken out by season since the 1976 ABA-NBA merger.</p>\n<p><code>historical_RAPTOR_by_team.csv</code> contains RAPTOR data for every player broken out by team, season and season_type since the 1976 ABA-NBA merger.</p>\n<p>These \"historical\" data files use full player-tracking RAPTOR for seasons since 2014, a version of RAPTOR that mixes box score value estimates with single-year regularized plus-minus data for seasons from 2001 through 2013, and a version of RAPTOR that only uses a box score estimate of value for the seasons from 1977 through 2000. In each era, the RAPTOR version with the highest level of detail is the version used.</p>\n<p>The linked file <code>latest_RAPTOR_by_player.csv</code> contains RAPTOR data for every player in the 2019-20 season.</p>\n<p>The linked file <code>latest_RAPTOR_by_team.csv</code> contains RAPTOR data for every player broken out by team, season and season_type for the 2019-20 season.</p>\n<p>These \"latest\" data files contain the box score and on/off plus-minus components of RAPTOR, which are then combined into a total RAPTOR rating.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>player_name</code></td>\n<td>Player name</td>\n</tr>\n<tr>\n<td><code>player_id</code></td>\n<td>Basketball-Reference.com player ID</td>\n</tr>\n<tr>\n<td><code>season</code></td>\n<td>Season</td>\n</tr>\n<tr>\n<td><code>season_type</code></td>\n<td>Regular season (RS) or playoff (PO)</td>\n</tr>\n<tr>\n<td><code>team</code></td>\n<td>Basketball-Reference ID of team</td>\n</tr>\n<tr>\n<td><code>poss</code></td>\n<td>Possessions played</td>\n</tr>\n<tr>\n<td><code>mp</code></td>\n<td>Minutes played</td>\n</tr>\n<tr>\n<td><code>raptor_box_offense</code></td>\n<td>Points above average per 100 possessions added by player on offense, based only on box score estimate</td>\n</tr>\n<tr>\n<td><code>raptor_box_defense</code></td>\n<td>Points above average per 100 possessions added by player on defense, based only on box score estimate</td>\n</tr>\n<tr>\n<td><code>raptor_box_total</code></td>\n<td>Points above average per 100 possessions added by player, based only on box score estimate</td>\n</tr>\n<tr>\n<td><code>raptor_onoff_offense</code></td>\n<td>Points above average per 100 possessions added by player on offense, based only on plus-minus data</td>\n</tr>\n<tr>\n<td><code>raptor_onoff_defense</code></td>\n<td>Points above average per 100 possessions added by player on defense, based only on plus-minus data</td>\n</tr>\n<tr>\n<td><code>raptor_onoff_total</code></td>\n<td>Points above average per 100 possessions added by player, based only on plus-minus data</td>\n</tr>\n<tr>\n<td><code>raptor_offense</code></td>\n<td>Points above average per 100 possessions added by player on offense, using both box and on-off components</td>\n</tr>\n<tr>\n<td><code>raptor_defense</code></td>\n<td>Points above average per 100 possessions added by player on defense, using both box and on-off components</td>\n</tr>\n<tr>\n<td><code>raptor_total</code></td>\n<td>Points above average per 100 possessions added by player on both offense and defense, using both box and on-off components</td>\n</tr>\n<tr>\n<td><code>war_total</code></td>\n<td>Wins Above Replacement between regular season and playoffs</td>\n</tr>\n<tr>\n<td><code>war_reg_season</code></td>\n<td>Wins Above Replacement for regular season</td>\n</tr>\n<tr>\n<td><code>war_playoffs</code></td>\n<td>Wins Above Replacement for playoffs</td>\n</tr>\n<tr>\n<td><code>predator_offense</code></td>\n<td>Predictive points above average per 100 possessions added by player on offense</td>\n</tr>\n<tr>\n<td><code>predator_defense</code></td>\n<td>Predictive points above average per 100 possessions added by player on defense</td>\n</tr>\n<tr>\n<td><code>predator_total</code></td>\n<td>Predictive points above average per 100 possessions added by player on both offense and defense</td>\n</tr>\n<tr>\n<td><code>pace_impact</code></td>\n<td>Player impact on team possessions per 48 minutes</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nba-raptor/historical_RAPTOR_by_team.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "nba-raptor/historical_RAPTOR_by_player": {
                    "description_html": "<hr />\n<p>files:\n  - https://projects.fivethirtyeight.com/nba-model/2020/latest_RAPTOR_by_team.csv\n  - https://projects.fivethirtyeight.com/nba-model/2020/latest_RAPTOR_by_player.csv</p>\n<hr />\n<h1>nba-raptor</h1>\n<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/introducing-raptor-our-new-metric-for-the-modern-nba\">Introducing RAPTOR, Our New Metric For The Modern NBA</a> and the interactive <a href=\"https://projects.fivethirtyeight.com/2020-nba-player-ratings/\">The Best NBA Players This Season, According To RAPTOR</a>.</p>\n<p><code>modern_RAPTOR_by_player.csv</code> contains RAPTOR data for every player broken out by season since 2014, when NBA player-tracking data first became available.</p>\n<p><code>modern_RAPTOR_by_team.csv</code> contains RAPTOR data for every player broken out by team, season and season_type since 2014, when NBA player-tracking data first became available.</p>\n<p>These \"modern\" data files contain the box score and on/off plus-minus components of RAPTOR, which are then combined into a total RAPTOR rating.</p>\n<p><code>historical_RAPTOR_by_player.csv</code> contains RAPTOR data for every player broken out by season since the 1976 ABA-NBA merger.</p>\n<p><code>historical_RAPTOR_by_team.csv</code> contains RAPTOR data for every player broken out by team, season and season_type since the 1976 ABA-NBA merger.</p>\n<p>These \"historical\" data files use full player-tracking RAPTOR for seasons since 2014, a version of RAPTOR that mixes box score value estimates with single-year regularized plus-minus data for seasons from 2001 through 2013, and a version of RAPTOR that only uses a box score estimate of value for the seasons from 1977 through 2000. In each era, the RAPTOR version with the highest level of detail is the version used.</p>\n<p>The linked file <code>latest_RAPTOR_by_player.csv</code> contains RAPTOR data for every player in the 2019-20 season.</p>\n<p>The linked file <code>latest_RAPTOR_by_team.csv</code> contains RAPTOR data for every player broken out by team, season and season_type for the 2019-20 season.</p>\n<p>These \"latest\" data files contain the box score and on/off plus-minus components of RAPTOR, which are then combined into a total RAPTOR rating.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>player_name</code></td>\n<td>Player name</td>\n</tr>\n<tr>\n<td><code>player_id</code></td>\n<td>Basketball-Reference.com player ID</td>\n</tr>\n<tr>\n<td><code>season</code></td>\n<td>Season</td>\n</tr>\n<tr>\n<td><code>season_type</code></td>\n<td>Regular season (RS) or playoff (PO)</td>\n</tr>\n<tr>\n<td><code>team</code></td>\n<td>Basketball-Reference ID of team</td>\n</tr>\n<tr>\n<td><code>poss</code></td>\n<td>Possessions played</td>\n</tr>\n<tr>\n<td><code>mp</code></td>\n<td>Minutes played</td>\n</tr>\n<tr>\n<td><code>raptor_box_offense</code></td>\n<td>Points above average per 100 possessions added by player on offense, based only on box score estimate</td>\n</tr>\n<tr>\n<td><code>raptor_box_defense</code></td>\n<td>Points above average per 100 possessions added by player on defense, based only on box score estimate</td>\n</tr>\n<tr>\n<td><code>raptor_box_total</code></td>\n<td>Points above average per 100 possessions added by player, based only on box score estimate</td>\n</tr>\n<tr>\n<td><code>raptor_onoff_offense</code></td>\n<td>Points above average per 100 possessions added by player on offense, based only on plus-minus data</td>\n</tr>\n<tr>\n<td><code>raptor_onoff_defense</code></td>\n<td>Points above average per 100 possessions added by player on defense, based only on plus-minus data</td>\n</tr>\n<tr>\n<td><code>raptor_onoff_total</code></td>\n<td>Points above average per 100 possessions added by player, based only on plus-minus data</td>\n</tr>\n<tr>\n<td><code>raptor_offense</code></td>\n<td>Points above average per 100 possessions added by player on offense, using both box and on-off components</td>\n</tr>\n<tr>\n<td><code>raptor_defense</code></td>\n<td>Points above average per 100 possessions added by player on defense, using both box and on-off components</td>\n</tr>\n<tr>\n<td><code>raptor_total</code></td>\n<td>Points above average per 100 possessions added by player on both offense and defense, using both box and on-off components</td>\n</tr>\n<tr>\n<td><code>war_total</code></td>\n<td>Wins Above Replacement between regular season and playoffs</td>\n</tr>\n<tr>\n<td><code>war_reg_season</code></td>\n<td>Wins Above Replacement for regular season</td>\n</tr>\n<tr>\n<td><code>war_playoffs</code></td>\n<td>Wins Above Replacement for playoffs</td>\n</tr>\n<tr>\n<td><code>predator_offense</code></td>\n<td>Predictive points above average per 100 possessions added by player on offense</td>\n</tr>\n<tr>\n<td><code>predator_defense</code></td>\n<td>Predictive points above average per 100 possessions added by player on defense</td>\n</tr>\n<tr>\n<td><code>predator_total</code></td>\n<td>Predictive points above average per 100 possessions added by player on both offense and defense</td>\n</tr>\n<tr>\n<td><code>pace_impact</code></td>\n<td>Player impact on team possessions per 48 minutes</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nba-raptor/historical_RAPTOR_by_player.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "poll-quiz-guns/guns-polls": {
                    "description_html": "<p>This table contains the data behind the quiz <a href=\"https://projects.fivethirtyeight.com/guns-parkland-polling-quiz/\">Do You Know Where America Stands On Guns?</a></p>\n<p><a href=\"guns-polls.csv\"><code>guns-polls.csv</code></a> contains the list of polls about guns that we used in our quiz. All polls have been taken after February 14, 2018, the date of the school shooting in Parkland, Florida.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/poll-quiz-guns/guns-polls.csv",
                    "title": "Poll Quiz - Guns: guns-polls.csv"
                },
                "weather-check/weather-check": {
                    "description_html": "<p>This directory contains the data behind the story <a href=\"http://fivethirtyeight.com/datalab/weather-forecast-news-app-habits\">Where People Go To Check The Weather</a>.</p>\n<p>The source of the data is a Survey Monkey Audience poll commissioned by FiveThirtyEight and conducted from April 6 to April 10, 2015.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Do you typically check a daily weather report?</code></td>\n<td>Yes or No</td>\n</tr>\n<tr>\n<td><code>How do you typically check the weather?</code></td>\n<td>\"The Weather Channel\", \"Local TV News\", \"Radio weather\", \"Internet search\", \"The default weather app on your phone\", \"Newsletter\", \"Newspaper\", \"A specific website or app (please provide the answer)</td>\n</tr>\n<tr>\n<td><code>A specific website or app (please provide the answer)</code></td>\n<td>If they responded this value for the second question, they were asked to write-in the app or website they used.</td>\n</tr>\n<tr>\n<td><code>If you had a smartwatch (like the soon to be released Apple Watch), how likely or unlikely would you be to check the weather on that device?</code></td>\n<td>\"Very Likely\", \"Somewhat Likely\", \"Somewhat unlikely\", \"Very unlikely\"</td>\n</tr>\n<tr>\n<td><code>Age</code></td>\n<td>18-29, 30-44, 45-59, 60+</td>\n</tr>\n<tr>\n<td><code>What is your gender?</code></td>\n<td>Female, Male</td>\n</tr>\n<tr>\n<td><code>How much total combined money did all members of your HOUSEHOLD earn last year?</code></td>\n<td>$0 to $9,999, $10,000 to $24,999, $25,000 to $49,999, $50,000 to $74,999, $75,000 to $99,999, $100,000 to $124,000, $125,000 to $149,999, $150,000 to $174,999, $175,000 to $199,999, $200,000+, Prefer not to answer.</td>\n</tr>\n<tr>\n<td><code>US Region</code></td>\n<td>New England, Middle Atlantic, East North Central, West North Central, South Atlantic, East South Central, West South Central, Mountain, Pacific.</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/weather-check/weather-check.csv",
                    "title": "Weather Check: weather-check.csv"
                },
                "fight-songs/fight-songs": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://projects.fivethirtyeight.com/college-fight-song-lyrics/\">Our Guide To The Exuberant Nonsense Of College Fight Songs</a>.</p>\n<p><code>fight-songs.csv</code> contains data about fight songs from all schools in the Power Five conferences \u2014 the ACC, Big Ten, Big 12, Pac-12 and SEC \u2014 plus Notre Dame. Some schools have more than one fight song, and some of the songs sanctioned as \u201cofficial\u201d by their schools aren\u2019t the ones that fans sing out. We chose the songs that seemed best-known and best-loved. We also limited our analysis to the lyrics sung most regularly and also published by the school, so some verses were not included in the analysis. The tempo and length information come from the version of the song we chose from those available on Spotify.</p>\n<p>Column definitions:</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>school</code></td>\n<td>School name</td>\n</tr>\n<tr>\n<td><code>conference</code></td>\n<td>School college football conference</td>\n</tr>\n<tr>\n<td><code>song_name</code></td>\n<td>Song title</td>\n</tr>\n<tr>\n<td><code>writers</code></td>\n<td>Song author</td>\n</tr>\n<tr>\n<td><code>year</code></td>\n<td>Year the song written. Some values are <code>Unknown</code></td>\n</tr>\n<tr>\n<td><code>student_writer</code></td>\n<td>Was the author a student? Some values are <code>Unknown</code></td>\n</tr>\n<tr>\n<td><code>official_song</code></td>\n<td>Is the song the official fight song according to the university?</td>\n</tr>\n<tr>\n<td><code>contest</code></td>\n<td>Was the song chosen as the result of a contest?</td>\n</tr>\n<tr>\n<td><code>bpm</code></td>\n<td>Beats per minute</td>\n</tr>\n<tr>\n<td><code>sec_duration</code></td>\n<td>Duration of song in seconds</td>\n</tr>\n<tr>\n<td><code>fight</code></td>\n<td>Does the song say \u201cfight\u201d?</td>\n</tr>\n<tr>\n<td><code>number_fights</code></td>\n<td>Number of times the song says \u201cfight\u201d?</td>\n</tr>\n<tr>\n<td><code>victory</code></td>\n<td>Does the song say \u201cvictory\u201d?</td>\n</tr>\n<tr>\n<td><code>win_won</code></td>\n<td>Does the song say \u201cwin\u201d or \u201cwon\u201d?</td>\n</tr>\n<tr>\n<td><code>victory_win_won</code></td>\n<td>Does the song say \u201cvictory,\u201d \u201cwin\u201d or \u201cwon\u201d?</td>\n</tr>\n<tr>\n<td><code>rah</code></td>\n<td>Does the song say \u201crah\u201d?</td>\n</tr>\n<tr>\n<td><code>nonsense</code></td>\n<td>Does the song use nonsense syllables (e.g. \"Whoo-Rah\" or \"Hooperay\")</td>\n</tr>\n<tr>\n<td><code>colors</code></td>\n<td>Does the song mention the school colors?</td>\n</tr>\n<tr>\n<td><code>men</code></td>\n<td>Does the song refer to a group of men (e.g. men, boys, sons, etc.)?</td>\n</tr>\n<tr>\n<td><code>opponents</code></td>\n<td>Does the song mention any opponents?</td>\n</tr>\n<tr>\n<td><code>spelling</code></td>\n<td>Does the song spell anything?</td>\n</tr>\n<tr>\n<td><code>trope_count</code></td>\n<td>Total number of tropes (<code>fight</code>, <code>victory</code>, <code>win_won</code>, <code>rah</code>, <code>nonsense</code>,<code>colors</code>, <code>men</code>, <code>opponents</code>, and <code>spelling</code>).</td>\n</tr>\n<tr>\n<td><code>spotify_id</code></td>\n<td>Spotify id for the song</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/fight-songs/fight-songs.csv",
                    "title": "fight-songs: fight-songs.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "births/US_births_2000-2014_SSA": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/some-people-are-too-superstitious-to-have-a-baby-on-friday-the-13th/\">Some People Are Too Superstitious To Have A Baby On Friday The 13th</a>.</p>\n<p>There are two files:</p>\n<p><code>US_births_1994-2003_CDC_NCHS.csv</code> contains U.S. births data for the years 1994 to 2003, as provided by the Centers for Disease Control and Prevention's National Center for Health Statistics.</p>\n<p><code>US_births_2000-2014_SSA.csv</code> contains U.S. births data for the years 2000 to 2014, as provided by the Social Security Administration.</p>\n<p>Both files have the following structure:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>year</code></td>\n<td>Year</td>\n</tr>\n<tr>\n<td><code>month</code></td>\n<td>Month</td>\n</tr>\n<tr>\n<td><code>date_of_month</code></td>\n<td>Day number of the month</td>\n</tr>\n<tr>\n<td><code>day_of_week</code></td>\n<td>Day of week, where 1 is Monday and 7 is Sunday</td>\n</tr>\n<tr>\n<td><code>births</code></td>\n<td>Number of births</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/births/US_births_2000-2014_SSA.csv",
                    "title": "U.S. Births: US_births_2000-2014_SSA.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "births/US_births_1994-2003_CDC_NCHS": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/some-people-are-too-superstitious-to-have-a-baby-on-friday-the-13th/\">Some People Are Too Superstitious To Have A Baby On Friday The 13th</a>.</p>\n<p>There are two files:</p>\n<p><code>US_births_1994-2003_CDC_NCHS.csv</code> contains U.S. births data for the years 1994 to 2003, as provided by the Centers for Disease Control and Prevention's National Center for Health Statistics.</p>\n<p><code>US_births_2000-2014_SSA.csv</code> contains U.S. births data for the years 2000 to 2014, as provided by the Social Security Administration.</p>\n<p>Both files have the following structure:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>year</code></td>\n<td>Year</td>\n</tr>\n<tr>\n<td><code>month</code></td>\n<td>Month</td>\n</tr>\n<tr>\n<td><code>date_of_month</code></td>\n<td>Day number of the month</td>\n</tr>\n<tr>\n<td><code>day_of_week</code></td>\n<td>Day of week, where 1 is Monday and 7 is Sunday</td>\n</tr>\n<tr>\n<td><code>births</code></td>\n<td>Number of births</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/births/US_births_1994-2003_CDC_NCHS.csv",
                    "title": "U.S. Births: US_births_1994-2003_CDC_NCHS.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "nutrition-studies/raw_anonymized_data": {
                    "description_html": "<p>This directory contains data and code behind the story <a href=\"http://fivethirtyeight.com/features/you-cant-trust-what-you-read-about-nutrition\">You Can\u2019t Trust What You Read About Nutrition</a>.</p>\n<p>Many studies of diet and nutrition include multiple variables with vast amounts of data, making it easy to p-hack your way to sexy (and false) results. We learned this firsthand when we invited readers to take a survey about their eating habits known as the food frequency questionnaire and answer a few other questions about themselves. We ended up with 54 complete responses and looked for associations much as researchers look for links between foods and dreaded diseases. It was easy to find them. </p>\n<p><em>Warning</em>: This is evil (statistical) work. Do not go to the dark side. Do not try this at home.</p>\n<p>This directory contains three files:</p>\n<table>\n<thead>\n<tr>\n<th>File</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>raw_anonymized_data.csv</code></td>\n<td>The FFQ and survey data from 54 respondents</td>\n</tr>\n<tr>\n<td><code>p_hacking.R</code></td>\n<td>An R script that performs 27,716 regressions</td>\n</tr>\n<tr>\n<td><code>p_values_analysis.csv</code></td>\n<td>The output data file listing the p-values</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> This is an intentionally shady regression analysis, both because of the \"p-hacking\" or \"data mining\" behind running more than 27,000 regressions and because the statistics reported were the p-values of the characteristics (the independent variables).</p>\n<p><strong>IN OTHER WORDS: THIS IS NOT AN EXAMPLE OF SOUND DATA ANALYSIS.</strong></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nutrition-studies/raw_anonymized_data.csv",
                    "title": "Nutrition Studies: raw_anonymized_data.csv"
                },
                "nutrition-studies/p_values_analysis": {
                    "description_html": "<p>This directory contains data and code behind the story <a href=\"http://fivethirtyeight.com/features/you-cant-trust-what-you-read-about-nutrition\">You Can\u2019t Trust What You Read About Nutrition</a>.</p>\n<p>Many studies of diet and nutrition include multiple variables with vast amounts of data, making it easy to p-hack your way to sexy (and false) results. We learned this firsthand when we invited readers to take a survey about their eating habits known as the food frequency questionnaire and answer a few other questions about themselves. We ended up with 54 complete responses and looked for associations much as researchers look for links between foods and dreaded diseases. It was easy to find them. </p>\n<p><em>Warning</em>: This is evil (statistical) work. Do not go to the dark side. Do not try this at home.</p>\n<p>This directory contains three files:</p>\n<table>\n<thead>\n<tr>\n<th>File</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>raw_anonymized_data.csv</code></td>\n<td>The FFQ and survey data from 54 respondents</td>\n</tr>\n<tr>\n<td><code>p_hacking.R</code></td>\n<td>An R script that performs 27,716 regressions</td>\n</tr>\n<tr>\n<td><code>p_values_analysis.csv</code></td>\n<td>The output data file listing the p-values</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> This is an intentionally shady regression analysis, both because of the \"p-hacking\" or \"data mining\" behind running more than 27,000 regressions and because the statistics reported were the p-values of the characteristics (the independent variables).</p>\n<p><strong>IN OTHER WORDS: THIS IS NOT AN EXAMPLE OF SOUND DATA ANALYSIS.</strong></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nutrition-studies/p_values_analysis.csv",
                    "title": "Nutrition Studies: p_values_analysis.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "fandango/fandango_scrape": {
                    "description_html": "<p>This directory contains the data behind the story <a href=\"http://fivethirtyeight.com/features/fandango-movies-ratings/\">Be Suspicious Of Online Movie Ratings, Especially Fandango\u2019s</a>.</p>\n<p><code>fandango_score_comparison.csv</code> contains every film that has a Rotten Tomatoes rating, a RT User rating, a Metacritic score, a Metacritic User score, and IMDb score, and at least 30 fan reviews on Fandango. The data from Fandango was pulled on Aug. 24, 2015.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>FILM</td>\n<td>The film in question</td>\n</tr>\n<tr>\n<td>RottenTomatoes</td>\n<td>The Rotten Tomatoes Tomatometer score  for the film</td>\n</tr>\n<tr>\n<td>RottenTomatoes_User</td>\n<td>The Rotten Tomatoes user score for the film</td>\n</tr>\n<tr>\n<td>Metacritic</td>\n<td>The Metacritic critic score for the film</td>\n</tr>\n<tr>\n<td>Metacritic_User</td>\n<td>The Metacritic user score for the film</td>\n</tr>\n<tr>\n<td>IMDB</td>\n<td>The IMDb user score for the film</td>\n</tr>\n<tr>\n<td>Fandango_Stars</td>\n<td>The number of stars the film had on its Fandango movie page</td>\n</tr>\n<tr>\n<td>Fandango_Ratingvalue</td>\n<td>The Fandango ratingValue for the film, as pulled from the HTML of each page. This is the actual average score the movie obtained.</td>\n</tr>\n<tr>\n<td>RT_norm</td>\n<td>The Rotten Tomatoes Tomatometer score  for the film , normalized to a 0 to 5 point system</td>\n</tr>\n<tr>\n<td>RT_user_norm</td>\n<td>The Rotten Tomatoes user score for the film , normalized to a 0 to 5 point system</td>\n</tr>\n<tr>\n<td>Metacritic_norm</td>\n<td>The Metacritic critic score for the film, normalized to a 0 to 5 point system</td>\n</tr>\n<tr>\n<td>Metacritic_user_nom</td>\n<td>The Metacritic user score for the film, normalized to a 0 to 5 point system</td>\n</tr>\n<tr>\n<td>IMDB_norm</td>\n<td>The IMDb user score for the film, normalized to a 0 to 5 point system</td>\n</tr>\n<tr>\n<td>RT_norm_round</td>\n<td>The Rotten Tomatoes Tomatometer score  for the film , normalized to a 0 to 5 point system and rounded to the nearest half-star</td>\n</tr>\n<tr>\n<td>RT_user_norm_round</td>\n<td>The Rotten Tomatoes user score for the film , normalized to a 0 to 5 point system and rounded to the nearest half-star</td>\n</tr>\n<tr>\n<td>Metacritic_norm_round</td>\n<td>The Metacritic critic score for the film, normalized to a 0 to 5 point system and rounded to the nearest half-star</td>\n</tr>\n<tr>\n<td>Metacritic_user_norm_round</td>\n<td>The Metacritic user score for the film, normalized to a 0 to 5 point system and rounded to the nearest half-star</td>\n</tr>\n<tr>\n<td>IMDB_norm_round</td>\n<td>The IMDb user score for the film, normalized to a 0 to 5 point system and rounded to the nearest half-star</td>\n</tr>\n<tr>\n<td>Metacritic_user_vote_count</td>\n<td>The number of user votes the film had on Metacritic</td>\n</tr>\n<tr>\n<td>IMDB_user_vote_count</td>\n<td>The number of user votes the film had on IMDb</td>\n</tr>\n<tr>\n<td>Fandango_votes</td>\n<td>The number of user votes the film had on Fandango</td>\n</tr>\n<tr>\n<td>Fandango_Difference</td>\n<td>The difference between the presented Fandango_Stars and the actual Fandango_Ratingvalue</td>\n</tr>\n</tbody>\n</table>\n<p><code>fandango_scrape.csv</code> contains every film we pulled from Fandango.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Definiton</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>FILM</td>\n<td>The movie</td>\n</tr>\n<tr>\n<td>STARS</td>\n<td>Number of stars presented on Fandango.com</td>\n</tr>\n<tr>\n<td>RATING</td>\n<td>The Fandango ratingValue for the film, as pulled from the HTML of each page. This is the actual average score the movie obtained.</td>\n</tr>\n<tr>\n<td>VOTES</td>\n<td>number of people who had reviewed the film at the time we pulled it.</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/fandango/fandango_scrape.csv",
                    "title": "Fandango: fandango_scrape.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "fandango/fandango_score_comparison": {
                    "description_html": "<p>This directory contains the data behind the story <a href=\"http://fivethirtyeight.com/features/fandango-movies-ratings/\">Be Suspicious Of Online Movie Ratings, Especially Fandango\u2019s</a>.</p>\n<p><code>fandango_score_comparison.csv</code> contains every film that has a Rotten Tomatoes rating, a RT User rating, a Metacritic score, a Metacritic User score, and IMDb score, and at least 30 fan reviews on Fandango. The data from Fandango was pulled on Aug. 24, 2015.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>FILM</td>\n<td>The film in question</td>\n</tr>\n<tr>\n<td>RottenTomatoes</td>\n<td>The Rotten Tomatoes Tomatometer score  for the film</td>\n</tr>\n<tr>\n<td>RottenTomatoes_User</td>\n<td>The Rotten Tomatoes user score for the film</td>\n</tr>\n<tr>\n<td>Metacritic</td>\n<td>The Metacritic critic score for the film</td>\n</tr>\n<tr>\n<td>Metacritic_User</td>\n<td>The Metacritic user score for the film</td>\n</tr>\n<tr>\n<td>IMDB</td>\n<td>The IMDb user score for the film</td>\n</tr>\n<tr>\n<td>Fandango_Stars</td>\n<td>The number of stars the film had on its Fandango movie page</td>\n</tr>\n<tr>\n<td>Fandango_Ratingvalue</td>\n<td>The Fandango ratingValue for the film, as pulled from the HTML of each page. This is the actual average score the movie obtained.</td>\n</tr>\n<tr>\n<td>RT_norm</td>\n<td>The Rotten Tomatoes Tomatometer score  for the film , normalized to a 0 to 5 point system</td>\n</tr>\n<tr>\n<td>RT_user_norm</td>\n<td>The Rotten Tomatoes user score for the film , normalized to a 0 to 5 point system</td>\n</tr>\n<tr>\n<td>Metacritic_norm</td>\n<td>The Metacritic critic score for the film, normalized to a 0 to 5 point system</td>\n</tr>\n<tr>\n<td>Metacritic_user_nom</td>\n<td>The Metacritic user score for the film, normalized to a 0 to 5 point system</td>\n</tr>\n<tr>\n<td>IMDB_norm</td>\n<td>The IMDb user score for the film, normalized to a 0 to 5 point system</td>\n</tr>\n<tr>\n<td>RT_norm_round</td>\n<td>The Rotten Tomatoes Tomatometer score  for the film , normalized to a 0 to 5 point system and rounded to the nearest half-star</td>\n</tr>\n<tr>\n<td>RT_user_norm_round</td>\n<td>The Rotten Tomatoes user score for the film , normalized to a 0 to 5 point system and rounded to the nearest half-star</td>\n</tr>\n<tr>\n<td>Metacritic_norm_round</td>\n<td>The Metacritic critic score for the film, normalized to a 0 to 5 point system and rounded to the nearest half-star</td>\n</tr>\n<tr>\n<td>Metacritic_user_norm_round</td>\n<td>The Metacritic user score for the film, normalized to a 0 to 5 point system and rounded to the nearest half-star</td>\n</tr>\n<tr>\n<td>IMDB_norm_round</td>\n<td>The IMDb user score for the film, normalized to a 0 to 5 point system and rounded to the nearest half-star</td>\n</tr>\n<tr>\n<td>Metacritic_user_vote_count</td>\n<td>The number of user votes the film had on Metacritic</td>\n</tr>\n<tr>\n<td>IMDB_user_vote_count</td>\n<td>The number of user votes the film had on IMDb</td>\n</tr>\n<tr>\n<td>Fandango_votes</td>\n<td>The number of user votes the film had on Fandango</td>\n</tr>\n<tr>\n<td>Fandango_Difference</td>\n<td>The difference between the presented Fandango_Stars and the actual Fandango_Ratingvalue</td>\n</tr>\n</tbody>\n</table>\n<p><code>fandango_scrape.csv</code> contains every film we pulled from Fandango.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Definiton</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>FILM</td>\n<td>The movie</td>\n</tr>\n<tr>\n<td>STARS</td>\n<td>Number of stars presented on Fandango.com</td>\n</tr>\n<tr>\n<td>RATING</td>\n<td>The Fandango ratingValue for the film, as pulled from the HTML of each page. This is the actual average score the movie obtained.</td>\n</tr>\n<tr>\n<td>VOTES</td>\n<td>number of people who had reviewed the film at the time we pulled it.</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/fandango/fandango_score_comparison.csv",
                    "title": "Fandango: fandango_score_comparison.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "us-weather-history/KMDW": {
                    "description_html": "<p>This table contains data and code behind the story <a href=\"http://fivethirtyeight.com/features/what-12-months-of-record-setting-temperatures-looks-like-across-the-u-s/\">What 12 Months Of Record-Setting Temperatures Looks Like Across The U.S.</a>.</p>\n<h2>Code</h2>\n<table>\n<thead>\n<tr>\n<th>Code file</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wunderground_scraper.py</code></td>\n<td>Downloads weather data web pages from Weather Underground</td>\n</tr>\n<tr>\n<td><code>wunderground_parser.py</code></td>\n<td>Parses the weather data from Weather Underground into a flat CSV file</td>\n</tr>\n<tr>\n<td><code>visualize_weather.py</code></td>\n<td>Creates the visualization of the weather data</td>\n</tr>\n</tbody>\n</table>\n<h2>Data</h2>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>The date of the weather record, formatted YYYY-M-D</td>\n</tr>\n<tr>\n<td><code>actual_mean_temp</code></td>\n<td>The measured average temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_min_temp</code></td>\n<td>The measured minimum temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_max_temp</code></td>\n<td>The measured maximum temperature for that day</td>\n</tr>\n<tr>\n<td><code>average_min_temp</code></td>\n<td>The average minimum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>average_max_temp</code></td>\n<td>The average maximum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp</code></td>\n<td>The lowest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_max_temp</code></td>\n<td>The highest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp_year</code></td>\n<td>The year that the lowest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>record_max_temp_year</code></td>\n<td>The year that the highest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>actual_precipitation</code></td>\n<td>The measured amount of rain or snow for that day</td>\n</tr>\n<tr>\n<td><code>average_precipitation</code></td>\n<td>The average amount of rain or snow on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_precipitation</code></td>\n<td>The highest amount of rain or snow on that day since 1880</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://wunderground.com\">Weather Underground</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/us-weather-history/KMDW.csv",
                    "title": "U.S. Weather History: KMDW.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "us-weather-history/KCLT": {
                    "description_html": "<p>This table contains data and code behind the story <a href=\"http://fivethirtyeight.com/features/what-12-months-of-record-setting-temperatures-looks-like-across-the-u-s/\">What 12 Months Of Record-Setting Temperatures Looks Like Across The U.S.</a>.</p>\n<h2>Code</h2>\n<table>\n<thead>\n<tr>\n<th>Code file</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wunderground_scraper.py</code></td>\n<td>Downloads weather data web pages from Weather Underground</td>\n</tr>\n<tr>\n<td><code>wunderground_parser.py</code></td>\n<td>Parses the weather data from Weather Underground into a flat CSV file</td>\n</tr>\n<tr>\n<td><code>visualize_weather.py</code></td>\n<td>Creates the visualization of the weather data</td>\n</tr>\n</tbody>\n</table>\n<h2>Data</h2>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>The date of the weather record, formatted YYYY-M-D</td>\n</tr>\n<tr>\n<td><code>actual_mean_temp</code></td>\n<td>The measured average temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_min_temp</code></td>\n<td>The measured minimum temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_max_temp</code></td>\n<td>The measured maximum temperature for that day</td>\n</tr>\n<tr>\n<td><code>average_min_temp</code></td>\n<td>The average minimum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>average_max_temp</code></td>\n<td>The average maximum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp</code></td>\n<td>The lowest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_max_temp</code></td>\n<td>The highest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp_year</code></td>\n<td>The year that the lowest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>record_max_temp_year</code></td>\n<td>The year that the highest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>actual_precipitation</code></td>\n<td>The measured amount of rain or snow for that day</td>\n</tr>\n<tr>\n<td><code>average_precipitation</code></td>\n<td>The average amount of rain or snow on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_precipitation</code></td>\n<td>The highest amount of rain or snow on that day since 1880</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://wunderground.com\">Weather Underground</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/us-weather-history/KCLT.csv",
                    "title": "U.S. Weather History: KCLT.csv"
                },
                "us-weather-history/KCQT": {
                    "description_html": "<p>This table contains data and code behind the story <a href=\"http://fivethirtyeight.com/features/what-12-months-of-record-setting-temperatures-looks-like-across-the-u-s/\">What 12 Months Of Record-Setting Temperatures Looks Like Across The U.S.</a>.</p>\n<h2>Code</h2>\n<table>\n<thead>\n<tr>\n<th>Code file</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wunderground_scraper.py</code></td>\n<td>Downloads weather data web pages from Weather Underground</td>\n</tr>\n<tr>\n<td><code>wunderground_parser.py</code></td>\n<td>Parses the weather data from Weather Underground into a flat CSV file</td>\n</tr>\n<tr>\n<td><code>visualize_weather.py</code></td>\n<td>Creates the visualization of the weather data</td>\n</tr>\n</tbody>\n</table>\n<h2>Data</h2>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>The date of the weather record, formatted YYYY-M-D</td>\n</tr>\n<tr>\n<td><code>actual_mean_temp</code></td>\n<td>The measured average temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_min_temp</code></td>\n<td>The measured minimum temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_max_temp</code></td>\n<td>The measured maximum temperature for that day</td>\n</tr>\n<tr>\n<td><code>average_min_temp</code></td>\n<td>The average minimum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>average_max_temp</code></td>\n<td>The average maximum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp</code></td>\n<td>The lowest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_max_temp</code></td>\n<td>The highest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp_year</code></td>\n<td>The year that the lowest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>record_max_temp_year</code></td>\n<td>The year that the highest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>actual_precipitation</code></td>\n<td>The measured amount of rain or snow for that day</td>\n</tr>\n<tr>\n<td><code>average_precipitation</code></td>\n<td>The average amount of rain or snow on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_precipitation</code></td>\n<td>The highest amount of rain or snow on that day since 1880</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://wunderground.com\">Weather Underground</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/us-weather-history/KCQT.csv",
                    "title": "U.S. Weather History: KCQT.csv"
                },
                "us-weather-history/KSEA": {
                    "description_html": "<p>This table contains data and code behind the story <a href=\"http://fivethirtyeight.com/features/what-12-months-of-record-setting-temperatures-looks-like-across-the-u-s/\">What 12 Months Of Record-Setting Temperatures Looks Like Across The U.S.</a>.</p>\n<h2>Code</h2>\n<table>\n<thead>\n<tr>\n<th>Code file</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wunderground_scraper.py</code></td>\n<td>Downloads weather data web pages from Weather Underground</td>\n</tr>\n<tr>\n<td><code>wunderground_parser.py</code></td>\n<td>Parses the weather data from Weather Underground into a flat CSV file</td>\n</tr>\n<tr>\n<td><code>visualize_weather.py</code></td>\n<td>Creates the visualization of the weather data</td>\n</tr>\n</tbody>\n</table>\n<h2>Data</h2>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>The date of the weather record, formatted YYYY-M-D</td>\n</tr>\n<tr>\n<td><code>actual_mean_temp</code></td>\n<td>The measured average temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_min_temp</code></td>\n<td>The measured minimum temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_max_temp</code></td>\n<td>The measured maximum temperature for that day</td>\n</tr>\n<tr>\n<td><code>average_min_temp</code></td>\n<td>The average minimum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>average_max_temp</code></td>\n<td>The average maximum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp</code></td>\n<td>The lowest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_max_temp</code></td>\n<td>The highest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp_year</code></td>\n<td>The year that the lowest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>record_max_temp_year</code></td>\n<td>The year that the highest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>actual_precipitation</code></td>\n<td>The measured amount of rain or snow for that day</td>\n</tr>\n<tr>\n<td><code>average_precipitation</code></td>\n<td>The average amount of rain or snow on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_precipitation</code></td>\n<td>The highest amount of rain or snow on that day since 1880</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://wunderground.com\">Weather Underground</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/us-weather-history/KSEA.csv",
                    "title": "U.S. Weather History: KSEA.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "us-weather-history/KIND": {
                    "description_html": "<p>This table contains data and code behind the story <a href=\"http://fivethirtyeight.com/features/what-12-months-of-record-setting-temperatures-looks-like-across-the-u-s/\">What 12 Months Of Record-Setting Temperatures Looks Like Across The U.S.</a>.</p>\n<h2>Code</h2>\n<table>\n<thead>\n<tr>\n<th>Code file</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wunderground_scraper.py</code></td>\n<td>Downloads weather data web pages from Weather Underground</td>\n</tr>\n<tr>\n<td><code>wunderground_parser.py</code></td>\n<td>Parses the weather data from Weather Underground into a flat CSV file</td>\n</tr>\n<tr>\n<td><code>visualize_weather.py</code></td>\n<td>Creates the visualization of the weather data</td>\n</tr>\n</tbody>\n</table>\n<h2>Data</h2>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>The date of the weather record, formatted YYYY-M-D</td>\n</tr>\n<tr>\n<td><code>actual_mean_temp</code></td>\n<td>The measured average temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_min_temp</code></td>\n<td>The measured minimum temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_max_temp</code></td>\n<td>The measured maximum temperature for that day</td>\n</tr>\n<tr>\n<td><code>average_min_temp</code></td>\n<td>The average minimum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>average_max_temp</code></td>\n<td>The average maximum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp</code></td>\n<td>The lowest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_max_temp</code></td>\n<td>The highest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp_year</code></td>\n<td>The year that the lowest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>record_max_temp_year</code></td>\n<td>The year that the highest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>actual_precipitation</code></td>\n<td>The measured amount of rain or snow for that day</td>\n</tr>\n<tr>\n<td><code>average_precipitation</code></td>\n<td>The average amount of rain or snow on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_precipitation</code></td>\n<td>The highest amount of rain or snow on that day since 1880</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://wunderground.com\">Weather Underground</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/us-weather-history/KIND.csv",
                    "title": "U.S. Weather History: KIND.csv"
                },
                "us-weather-history/KHOU": {
                    "description_html": "<p>This table contains data and code behind the story <a href=\"http://fivethirtyeight.com/features/what-12-months-of-record-setting-temperatures-looks-like-across-the-u-s/\">What 12 Months Of Record-Setting Temperatures Looks Like Across The U.S.</a>.</p>\n<h2>Code</h2>\n<table>\n<thead>\n<tr>\n<th>Code file</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wunderground_scraper.py</code></td>\n<td>Downloads weather data web pages from Weather Underground</td>\n</tr>\n<tr>\n<td><code>wunderground_parser.py</code></td>\n<td>Parses the weather data from Weather Underground into a flat CSV file</td>\n</tr>\n<tr>\n<td><code>visualize_weather.py</code></td>\n<td>Creates the visualization of the weather data</td>\n</tr>\n</tbody>\n</table>\n<h2>Data</h2>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>The date of the weather record, formatted YYYY-M-D</td>\n</tr>\n<tr>\n<td><code>actual_mean_temp</code></td>\n<td>The measured average temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_min_temp</code></td>\n<td>The measured minimum temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_max_temp</code></td>\n<td>The measured maximum temperature for that day</td>\n</tr>\n<tr>\n<td><code>average_min_temp</code></td>\n<td>The average minimum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>average_max_temp</code></td>\n<td>The average maximum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp</code></td>\n<td>The lowest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_max_temp</code></td>\n<td>The highest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp_year</code></td>\n<td>The year that the lowest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>record_max_temp_year</code></td>\n<td>The year that the highest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>actual_precipitation</code></td>\n<td>The measured amount of rain or snow for that day</td>\n</tr>\n<tr>\n<td><code>average_precipitation</code></td>\n<td>The average amount of rain or snow on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_precipitation</code></td>\n<td>The highest amount of rain or snow on that day since 1880</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://wunderground.com\">Weather Underground</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/us-weather-history/KHOU.csv",
                    "title": "U.S. Weather History: KHOU.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "us-weather-history/KNYC": {
                    "description_html": "<p>This table contains data and code behind the story <a href=\"http://fivethirtyeight.com/features/what-12-months-of-record-setting-temperatures-looks-like-across-the-u-s/\">What 12 Months Of Record-Setting Temperatures Looks Like Across The U.S.</a>.</p>\n<h2>Code</h2>\n<table>\n<thead>\n<tr>\n<th>Code file</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wunderground_scraper.py</code></td>\n<td>Downloads weather data web pages from Weather Underground</td>\n</tr>\n<tr>\n<td><code>wunderground_parser.py</code></td>\n<td>Parses the weather data from Weather Underground into a flat CSV file</td>\n</tr>\n<tr>\n<td><code>visualize_weather.py</code></td>\n<td>Creates the visualization of the weather data</td>\n</tr>\n</tbody>\n</table>\n<h2>Data</h2>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>The date of the weather record, formatted YYYY-M-D</td>\n</tr>\n<tr>\n<td><code>actual_mean_temp</code></td>\n<td>The measured average temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_min_temp</code></td>\n<td>The measured minimum temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_max_temp</code></td>\n<td>The measured maximum temperature for that day</td>\n</tr>\n<tr>\n<td><code>average_min_temp</code></td>\n<td>The average minimum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>average_max_temp</code></td>\n<td>The average maximum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp</code></td>\n<td>The lowest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_max_temp</code></td>\n<td>The highest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp_year</code></td>\n<td>The year that the lowest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>record_max_temp_year</code></td>\n<td>The year that the highest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>actual_precipitation</code></td>\n<td>The measured amount of rain or snow for that day</td>\n</tr>\n<tr>\n<td><code>average_precipitation</code></td>\n<td>The average amount of rain or snow on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_precipitation</code></td>\n<td>The highest amount of rain or snow on that day since 1880</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://wunderground.com\">Weather Underground</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/us-weather-history/KNYC.csv",
                    "title": "U.S. Weather History: KNYC.csv"
                },
                "us-weather-history/KJAX": {
                    "description_html": "<p>This table contains data and code behind the story <a href=\"http://fivethirtyeight.com/features/what-12-months-of-record-setting-temperatures-looks-like-across-the-u-s/\">What 12 Months Of Record-Setting Temperatures Looks Like Across The U.S.</a>.</p>\n<h2>Code</h2>\n<table>\n<thead>\n<tr>\n<th>Code file</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wunderground_scraper.py</code></td>\n<td>Downloads weather data web pages from Weather Underground</td>\n</tr>\n<tr>\n<td><code>wunderground_parser.py</code></td>\n<td>Parses the weather data from Weather Underground into a flat CSV file</td>\n</tr>\n<tr>\n<td><code>visualize_weather.py</code></td>\n<td>Creates the visualization of the weather data</td>\n</tr>\n</tbody>\n</table>\n<h2>Data</h2>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>The date of the weather record, formatted YYYY-M-D</td>\n</tr>\n<tr>\n<td><code>actual_mean_temp</code></td>\n<td>The measured average temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_min_temp</code></td>\n<td>The measured minimum temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_max_temp</code></td>\n<td>The measured maximum temperature for that day</td>\n</tr>\n<tr>\n<td><code>average_min_temp</code></td>\n<td>The average minimum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>average_max_temp</code></td>\n<td>The average maximum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp</code></td>\n<td>The lowest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_max_temp</code></td>\n<td>The highest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp_year</code></td>\n<td>The year that the lowest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>record_max_temp_year</code></td>\n<td>The year that the highest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>actual_precipitation</code></td>\n<td>The measured amount of rain or snow for that day</td>\n</tr>\n<tr>\n<td><code>average_precipitation</code></td>\n<td>The average amount of rain or snow on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_precipitation</code></td>\n<td>The highest amount of rain or snow on that day since 1880</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://wunderground.com\">Weather Underground</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/us-weather-history/KJAX.csv",
                    "title": "U.S. Weather History: KJAX.csv"
                },
                "us-weather-history/KPHL": {
                    "description_html": "<p>This table contains data and code behind the story <a href=\"http://fivethirtyeight.com/features/what-12-months-of-record-setting-temperatures-looks-like-across-the-u-s/\">What 12 Months Of Record-Setting Temperatures Looks Like Across The U.S.</a>.</p>\n<h2>Code</h2>\n<table>\n<thead>\n<tr>\n<th>Code file</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wunderground_scraper.py</code></td>\n<td>Downloads weather data web pages from Weather Underground</td>\n</tr>\n<tr>\n<td><code>wunderground_parser.py</code></td>\n<td>Parses the weather data from Weather Underground into a flat CSV file</td>\n</tr>\n<tr>\n<td><code>visualize_weather.py</code></td>\n<td>Creates the visualization of the weather data</td>\n</tr>\n</tbody>\n</table>\n<h2>Data</h2>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>The date of the weather record, formatted YYYY-M-D</td>\n</tr>\n<tr>\n<td><code>actual_mean_temp</code></td>\n<td>The measured average temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_min_temp</code></td>\n<td>The measured minimum temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_max_temp</code></td>\n<td>The measured maximum temperature for that day</td>\n</tr>\n<tr>\n<td><code>average_min_temp</code></td>\n<td>The average minimum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>average_max_temp</code></td>\n<td>The average maximum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp</code></td>\n<td>The lowest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_max_temp</code></td>\n<td>The highest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp_year</code></td>\n<td>The year that the lowest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>record_max_temp_year</code></td>\n<td>The year that the highest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>actual_precipitation</code></td>\n<td>The measured amount of rain or snow for that day</td>\n</tr>\n<tr>\n<td><code>average_precipitation</code></td>\n<td>The average amount of rain or snow on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_precipitation</code></td>\n<td>The highest amount of rain or snow on that day since 1880</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://wunderground.com\">Weather Underground</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/us-weather-history/KPHL.csv",
                    "title": "U.S. Weather History: KPHL.csv"
                },
                "us-weather-history/KPHX": {
                    "description_html": "<p>This table contains data and code behind the story <a href=\"http://fivethirtyeight.com/features/what-12-months-of-record-setting-temperatures-looks-like-across-the-u-s/\">What 12 Months Of Record-Setting Temperatures Looks Like Across The U.S.</a>.</p>\n<h2>Code</h2>\n<table>\n<thead>\n<tr>\n<th>Code file</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wunderground_scraper.py</code></td>\n<td>Downloads weather data web pages from Weather Underground</td>\n</tr>\n<tr>\n<td><code>wunderground_parser.py</code></td>\n<td>Parses the weather data from Weather Underground into a flat CSV file</td>\n</tr>\n<tr>\n<td><code>visualize_weather.py</code></td>\n<td>Creates the visualization of the weather data</td>\n</tr>\n</tbody>\n</table>\n<h2>Data</h2>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>The date of the weather record, formatted YYYY-M-D</td>\n</tr>\n<tr>\n<td><code>actual_mean_temp</code></td>\n<td>The measured average temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_min_temp</code></td>\n<td>The measured minimum temperature for that day</td>\n</tr>\n<tr>\n<td><code>actual_max_temp</code></td>\n<td>The measured maximum temperature for that day</td>\n</tr>\n<tr>\n<td><code>average_min_temp</code></td>\n<td>The average minimum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>average_max_temp</code></td>\n<td>The average maximum temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp</code></td>\n<td>The lowest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_max_temp</code></td>\n<td>The highest ever temperature on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_min_temp_year</code></td>\n<td>The year that the lowest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>record_max_temp_year</code></td>\n<td>The year that the highest ever temperature occurred</td>\n</tr>\n<tr>\n<td><code>actual_precipitation</code></td>\n<td>The measured amount of rain or snow for that day</td>\n</tr>\n<tr>\n<td><code>average_precipitation</code></td>\n<td>The average amount of rain or snow on that day since 1880</td>\n</tr>\n<tr>\n<td><code>record_precipitation</code></td>\n<td>The highest amount of rain or snow on that day since 1880</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://wunderground.com\">Weather Underground</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/us-weather-history/KPHX.csv",
                    "title": "U.S. Weather History: KPHX.csv"
                },
                "cousin-marriage/cousin-marriage-data": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/how-many-americans-are-married-to-their-cousins/\">Dear Mona: How Many Americans Are Married To Their Cousins?</a></p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>percent</code></td>\n<td>Percent of marriages that are consanguineous</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://www.consang.net/index.php/Main_Page\">cosang.net</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/cousin-marriage/cousin-marriage-data.csv",
                    "title": "Cousin Marriage: cousin-marriage-data.csv"
                },
                "trump-news/trump_news_data": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"http://fivethirtyeight.com/features/how-donald-trump-hacked-the-media/\">How Trump Hacked The Media</a>.</p>\n<table>\n<thead>\n<tr>\n<th>File</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>trump_news_data.csv</code></td>\n<td>Records the lead story of <a href=\"http://www.memeorandum.com/\">Memeorandum</a> each day at noon, since June 16, 2015. If the story is about Donald Trump, the story is classified as either polls, vs. GOP, comments or other.</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/trump-news/trump_news_data.csv",
                    "title": "Trump News: trump_news_data.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "goose/goose_rawdata": {
                    "description_html": "<p>This table contains data behind the stories:\n<em> <a href=\"https://fivethirtyeight.com/features/goose-egg-new-save-stat-relief-pitchers/\">The Save Ruined Relief Pitching. The Goose Egg Can Fix It</a>\n</em> <a href=\"https://fivethirtyeight.com/features/kenley-jansen-is-the-model-of-a-modern-reliever/\">Kenley Jansen Is The Model Of A Modern Reliever</a></p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>name</code></td>\n<td>Pitcher name</td>\n</tr>\n<tr>\n<td><code>year</code></td>\n<td>Start year of season</td>\n</tr>\n<tr>\n<td><code>team</code></td>\n<td>Retrosheet team code</td>\n</tr>\n<tr>\n<td><code>league</code></td>\n<td>NL or AL</td>\n</tr>\n<tr>\n<td><code>goose_eggs</code></td>\n<td>Goose eggs</td>\n</tr>\n<tr>\n<td><code>broken_eggs</code></td>\n<td>Broken eggs</td>\n</tr>\n<tr>\n<td><code>mehs</code></td>\n<td>Mehs</td>\n</tr>\n<tr>\n<td><code>league_average_gpct</code></td>\n<td>League-average goose percentage</td>\n</tr>\n<tr>\n<td><code>ppf</code></td>\n<td>Pitcher park factor</td>\n</tr>\n<tr>\n<td><code>replacement_gpct</code></td>\n<td>Replacement-level goose pecentage</td>\n</tr>\n<tr>\n<td><code>gwar</code></td>\n<td>Goose Wins Above Replacement</td>\n</tr>\n<tr>\n<td><code>key_retro</code></td>\n<td>Retrosheet unique player identifier</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://www.retrosheet.org/\">Retrosheet</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/goose/goose_rawdata.csv",
                    "title": "Goose: goose_rawdata.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "media-mentions-2020/online_weekly": {
                    "description_html": "<p>This table contains the data behind a <a href=\"https://fivethirtyeight.com/features/beto-orourke-ignored-cable-news-and-it-ignored-him/\">series of stories</a> about how often 2020 Democratic candidates are mentioned in cable news.</p>\n<h2>Cable News</h2>\n<p><code>cable_weekly.csv</code> contains the mentions of currently declared <a href=\"https://fivethirtyeight.com/features/heres-how-were-defining-a-major-presidential-candidate/\">major candidates</a> for the 2020 Democratic primary since December 30, 2018 across CNN, Fox News, and MSNBC. The TV News Archive measures coverage by splitting daily news footage into 15-second clips and finding the clips that contain a mention of our search query. Our search queries are the full names of each candidate. All candidates are queried starting December 30, 2018, however candidates are removed from the query once they have dropped out from the race.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>Start date for the week of coverage. A week of coverage spans from Sunday through Saturday. The cutoff for measuring coverage for any given day is midnight Eastern Standard Time. (Clock changes for Daylight Saving Time are ignored.)</td>\n</tr>\n<tr>\n<td><code>name</code></td>\n<td>Candidate's name</td>\n</tr>\n<tr>\n<td><code>matched_clips</code></td>\n<td>Number of 15-second clips that match <code>query</code></td>\n</tr>\n<tr>\n<td><code>all_candidate_clips</code></td>\n<td>Number of 15-second clips that match the following query <code>(\"Amy Klobuchar\" OR \"Andrew Yang\" OR \"Bernie Sanders\" OR \"Beto O'Rourke\" OR \"Bill de Blasio\" OR \"Cory Booker\" OR \"Elizabeth Warren\" OR \"Eric Swalwell\" OR \"Jay Inslee\" OR \"Joe Biden\" OR \"John Delaney\" OR \"John Hickenlooper\" OR \"Julian Castro\" OR \"Juli\u00e1n Castro\" OR \"Kamala Harris\" OR \"Kirsten Gillibrand\" OR \"Marianne Williamson\" OR \"Michael Bennet\" OR \"Mike Gravel\" OR \"Pete Buttigieg\" OR \"Seth Moulton\" OR \"Steve Bullock\" OR \"Tim Ryan\" OR \"Tulsi Gabbard\")</code></td>\n</tr>\n<tr>\n<td><code>total_clips</code></td>\n<td>Total number of 15-second clips that week across the three networks</td>\n</tr>\n<tr>\n<td><code>pct_of_all_candidate_clips</code></td>\n<td>(<code>matched_clips</code> / <code>all_candidate_clips</code>)</td>\n</tr>\n<tr>\n<td><code>query</code></td>\n<td>Query for the GDELT Television API</td>\n</tr>\n</tbody>\n</table>\n<p>Data is collected using the <a href=\"https://blog.gdeltproject.org/gdelt-2-0-television-api-debuts/\">GDELT Television API</a>, which processes the data from the <a href=\"https://archive.org/details/tv\">TV News Archive</a>.</p>\n<h2>Online News</h2>\n<p><code>online_weekly.csv</code> contains the mentions of currently declared <a href=\"https://fivethirtyeight.com/features/heres-how-were-defining-a-major-presidential-candidate/\">major candidates</a> for the 2020 Democratic primary since December 30, 2018 across in online news stories from two collections in the <a href=\"https://mediacloud.org/\">Media Cloud</a> database (<a href=\"https://sources.mediacloud.org/#/collections/58722749\">U.S. Top Online News</a> and <a href=\"https://sources.mediacloud.org/#/collections/57078150\">U.S. Top Digital Native News</a>). All candidates are queried starting December 30, 2018, however candidates are removed from the query once they have dropped out from the race.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>Start date for the week of coverage. A week of coverage spans from Sunday through Saturday.</td>\n</tr>\n<tr>\n<td><code>name</code></td>\n<td>Candidate's name</td>\n</tr>\n<tr>\n<td><code>matched_stories</code></td>\n<td>Number of stories that match <code>query</code></td>\n</tr>\n<tr>\n<td><code>all_candidate_stories</code></td>\n<td>Number of stories that match the following query <code>(\"Amy Klobuchar\" OR \"Andrew Yang\" OR \"Bernie Sanders\" OR \"Beto O'Rourke\" OR \"Bill de Blasio\" OR \"Cory Booker\" OR \"Elizabeth Warren\" OR \"Eric Swalwell\" OR \"Jay Inslee\" OR \"Joe Biden\" OR \"John Delaney\" OR \"John Hickenlooper\" OR \"Julian Castro\" OR \"Juli\u00e1n Castro\" OR \"Kamala Harris\" OR \"Kirsten Gillibrand\" OR \"Marianne Williamson\" OR \"Michael Bennet\" OR \"Mike Gravel\" OR \"Pete Buttigieg\" OR \"Seth Moulton\" OR \"Steve Bullock\" OR \"Tim Ryan\" OR \"Tulsi Gabbard\")</code></td>\n</tr>\n<tr>\n<td><code>pct_of_all_candidate_stories</code></td>\n<td>(<code>matched_stories</code> / <code>all_candidate_stories</code>)</td>\n</tr>\n<tr>\n<td><code>query</code></td>\n<td>Query for Media Cloud</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/media-mentions-2020/online_weekly.csv",
                    "title": "Media Mentions 2020: online_weekly.csv"
                },
                "media-mentions-2020/cable_weekly": {
                    "description_html": "<p>This table contains the data behind a <a href=\"https://fivethirtyeight.com/features/beto-orourke-ignored-cable-news-and-it-ignored-him/\">series of stories</a> about how often 2020 Democratic candidates are mentioned in cable news.</p>\n<h2>Cable News</h2>\n<p><code>cable_weekly.csv</code> contains the mentions of currently declared <a href=\"https://fivethirtyeight.com/features/heres-how-were-defining-a-major-presidential-candidate/\">major candidates</a> for the 2020 Democratic primary since December 30, 2018 across CNN, Fox News, and MSNBC. The TV News Archive measures coverage by splitting daily news footage into 15-second clips and finding the clips that contain a mention of our search query. Our search queries are the full names of each candidate. All candidates are queried starting December 30, 2018, however candidates are removed from the query once they have dropped out from the race.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>Start date for the week of coverage. A week of coverage spans from Sunday through Saturday. The cutoff for measuring coverage for any given day is midnight Eastern Standard Time. (Clock changes for Daylight Saving Time are ignored.)</td>\n</tr>\n<tr>\n<td><code>name</code></td>\n<td>Candidate's name</td>\n</tr>\n<tr>\n<td><code>matched_clips</code></td>\n<td>Number of 15-second clips that match <code>query</code></td>\n</tr>\n<tr>\n<td><code>all_candidate_clips</code></td>\n<td>Number of 15-second clips that match the following query <code>(\"Amy Klobuchar\" OR \"Andrew Yang\" OR \"Bernie Sanders\" OR \"Beto O'Rourke\" OR \"Bill de Blasio\" OR \"Cory Booker\" OR \"Elizabeth Warren\" OR \"Eric Swalwell\" OR \"Jay Inslee\" OR \"Joe Biden\" OR \"John Delaney\" OR \"John Hickenlooper\" OR \"Julian Castro\" OR \"Juli\u00e1n Castro\" OR \"Kamala Harris\" OR \"Kirsten Gillibrand\" OR \"Marianne Williamson\" OR \"Michael Bennet\" OR \"Mike Gravel\" OR \"Pete Buttigieg\" OR \"Seth Moulton\" OR \"Steve Bullock\" OR \"Tim Ryan\" OR \"Tulsi Gabbard\")</code></td>\n</tr>\n<tr>\n<td><code>total_clips</code></td>\n<td>Total number of 15-second clips that week across the three networks</td>\n</tr>\n<tr>\n<td><code>pct_of_all_candidate_clips</code></td>\n<td>(<code>matched_clips</code> / <code>all_candidate_clips</code>)</td>\n</tr>\n<tr>\n<td><code>query</code></td>\n<td>Query for the GDELT Television API</td>\n</tr>\n</tbody>\n</table>\n<p>Data is collected using the <a href=\"https://blog.gdeltproject.org/gdelt-2-0-television-api-debuts/\">GDELT Television API</a>, which processes the data from the <a href=\"https://archive.org/details/tv\">TV News Archive</a>.</p>\n<h2>Online News</h2>\n<p><code>online_weekly.csv</code> contains the mentions of currently declared <a href=\"https://fivethirtyeight.com/features/heres-how-were-defining-a-major-presidential-candidate/\">major candidates</a> for the 2020 Democratic primary since December 30, 2018 across in online news stories from two collections in the <a href=\"https://mediacloud.org/\">Media Cloud</a> database (<a href=\"https://sources.mediacloud.org/#/collections/58722749\">U.S. Top Online News</a> and <a href=\"https://sources.mediacloud.org/#/collections/57078150\">U.S. Top Digital Native News</a>). All candidates are queried starting December 30, 2018, however candidates are removed from the query once they have dropped out from the race.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>Start date for the week of coverage. A week of coverage spans from Sunday through Saturday.</td>\n</tr>\n<tr>\n<td><code>name</code></td>\n<td>Candidate's name</td>\n</tr>\n<tr>\n<td><code>matched_stories</code></td>\n<td>Number of stories that match <code>query</code></td>\n</tr>\n<tr>\n<td><code>all_candidate_stories</code></td>\n<td>Number of stories that match the following query <code>(\"Amy Klobuchar\" OR \"Andrew Yang\" OR \"Bernie Sanders\" OR \"Beto O'Rourke\" OR \"Bill de Blasio\" OR \"Cory Booker\" OR \"Elizabeth Warren\" OR \"Eric Swalwell\" OR \"Jay Inslee\" OR \"Joe Biden\" OR \"John Delaney\" OR \"John Hickenlooper\" OR \"Julian Castro\" OR \"Juli\u00e1n Castro\" OR \"Kamala Harris\" OR \"Kirsten Gillibrand\" OR \"Marianne Williamson\" OR \"Michael Bennet\" OR \"Mike Gravel\" OR \"Pete Buttigieg\" OR \"Seth Moulton\" OR \"Steve Bullock\" OR \"Tim Ryan\" OR \"Tulsi Gabbard\")</code></td>\n</tr>\n<tr>\n<td><code>pct_of_all_candidate_stories</code></td>\n<td>(<code>matched_stories</code> / <code>all_candidate_stories</code>)</td>\n</tr>\n<tr>\n<td><code>query</code></td>\n<td>Query for Media Cloud</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/media-mentions-2020/cable_weekly.csv",
                    "title": "Media Mentions 2020: cable_weekly.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "terrorism/eu_terrorism_fatalities_by_country": {
                    "description_html": "<p>This directory contains data, code and charts behind the story <a href=\"http://fivethirtyeight.com/features/the-rise-of-religiously-inspired-terrorism-in-france/\">The Rise Of Religiously Inspired Terrorism In France</a>.</p>\n<p>The data source is the <a href=\"http://www.start.umd.edu/gtd/\">Global Terrorism Database</a> (GTD). Raw data files from the GTD were retrieved on November 13, 2015; however, the raw data can not be made public. The data is freely available at the GTD <a href=\"http://www.start.umd.edu/gtd/\">website</a>. Please see the GTD codebook -- the file <code>GTD_Codebook_2015Final.pdf</code> -- for more information.</p>\n<p>Note: incident-level data for the year 1993 does not exist in the GTD database. However, in appendenix II of the codebook, GTD provides country-level summary statistics for that year; that data is included in the file <code>country_stats_1993_appendix2.csv</code>.</p>\n<p>The FiveThirtyEight analysis is contained in the following files:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Notes</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>paris_terror_analysis.R</code></td>\n<td>An R script that loads the GTD raw data and performs analysis</td>\n</tr>\n<tr>\n<td><code>france_fatalities.png</code></td>\n<td>Total fatalities from terrorism incidents in France, by year (from 1972 through 2014)</td>\n</tr>\n<tr>\n<td><code>france_terrorism_fatalities_by_year.csv</code></td>\n<td>The raw data behind the chart above</td>\n</tr>\n<tr>\n<td><code>eu_fatalities.png</code></td>\n<td>Total fatalities from terrorism incidents in the EU countries that joined in 1986 or earlier, from 1986 through 2014</td>\n</tr>\n<tr>\n<td><code>eu_terrorism_fatalities_by_year.csv</code></td>\n<td>The raw data behind the chart above</td>\n</tr>\n<tr>\n<td><code>eu_fatalities_by_country.png</code></td>\n<td>Total fatalities from terrorism incidents in the EU countries that joined in 1986 or earlier, for each country from 1972 through 2014</td>\n</tr>\n<tr>\n<td><code>eu_terrorism_fatalities_by_country.csv</code></td>\n<td>The raw data behind the chart above</td>\n</tr>\n<tr>\n<td><code>country_stats_1993_appendix2.csv</code></td>\n<td>This data is from Appendix II of the GTD codebook (found on pages 60-62); it includes country-level statistics on terrorism incidents in the year 1993.</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/terrorism/eu_terrorism_fatalities_by_country.csv",
                    "title": "France Terror Attacks: eu_terrorism_fatalities_by_country.csv"
                },
                "terrorism/country_stats_1993_appendix2": {
                    "description_html": "<p>This directory contains data, code and charts behind the story <a href=\"http://fivethirtyeight.com/features/the-rise-of-religiously-inspired-terrorism-in-france/\">The Rise Of Religiously Inspired Terrorism In France</a>.</p>\n<p>The data source is the <a href=\"http://www.start.umd.edu/gtd/\">Global Terrorism Database</a> (GTD). Raw data files from the GTD were retrieved on November 13, 2015; however, the raw data can not be made public. The data is freely available at the GTD <a href=\"http://www.start.umd.edu/gtd/\">website</a>. Please see the GTD codebook -- the file <code>GTD_Codebook_2015Final.pdf</code> -- for more information.</p>\n<p>Note: incident-level data for the year 1993 does not exist in the GTD database. However, in appendenix II of the codebook, GTD provides country-level summary statistics for that year; that data is included in the file <code>country_stats_1993_appendix2.csv</code>.</p>\n<p>The FiveThirtyEight analysis is contained in the following files:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Notes</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>paris_terror_analysis.R</code></td>\n<td>An R script that loads the GTD raw data and performs analysis</td>\n</tr>\n<tr>\n<td><code>france_fatalities.png</code></td>\n<td>Total fatalities from terrorism incidents in France, by year (from 1972 through 2014)</td>\n</tr>\n<tr>\n<td><code>france_terrorism_fatalities_by_year.csv</code></td>\n<td>The raw data behind the chart above</td>\n</tr>\n<tr>\n<td><code>eu_fatalities.png</code></td>\n<td>Total fatalities from terrorism incidents in the EU countries that joined in 1986 or earlier, from 1986 through 2014</td>\n</tr>\n<tr>\n<td><code>eu_terrorism_fatalities_by_year.csv</code></td>\n<td>The raw data behind the chart above</td>\n</tr>\n<tr>\n<td><code>eu_fatalities_by_country.png</code></td>\n<td>Total fatalities from terrorism incidents in the EU countries that joined in 1986 or earlier, for each country from 1972 through 2014</td>\n</tr>\n<tr>\n<td><code>eu_terrorism_fatalities_by_country.csv</code></td>\n<td>The raw data behind the chart above</td>\n</tr>\n<tr>\n<td><code>country_stats_1993_appendix2.csv</code></td>\n<td>This data is from Appendix II of the GTD codebook (found on pages 60-62); it includes country-level statistics on terrorism incidents in the year 1993.</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/terrorism/country_stats_1993_appendix2.csv",
                    "title": "France Terror Attacks: country_stats_1993_appendix2.csv"
                },
                "terrorism/eu_terrorism_fatalities_by_year": {
                    "description_html": "<p>This directory contains data, code and charts behind the story <a href=\"http://fivethirtyeight.com/features/the-rise-of-religiously-inspired-terrorism-in-france/\">The Rise Of Religiously Inspired Terrorism In France</a>.</p>\n<p>The data source is the <a href=\"http://www.start.umd.edu/gtd/\">Global Terrorism Database</a> (GTD). Raw data files from the GTD were retrieved on November 13, 2015; however, the raw data can not be made public. The data is freely available at the GTD <a href=\"http://www.start.umd.edu/gtd/\">website</a>. Please see the GTD codebook -- the file <code>GTD_Codebook_2015Final.pdf</code> -- for more information.</p>\n<p>Note: incident-level data for the year 1993 does not exist in the GTD database. However, in appendenix II of the codebook, GTD provides country-level summary statistics for that year; that data is included in the file <code>country_stats_1993_appendix2.csv</code>.</p>\n<p>The FiveThirtyEight analysis is contained in the following files:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Notes</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>paris_terror_analysis.R</code></td>\n<td>An R script that loads the GTD raw data and performs analysis</td>\n</tr>\n<tr>\n<td><code>france_fatalities.png</code></td>\n<td>Total fatalities from terrorism incidents in France, by year (from 1972 through 2014)</td>\n</tr>\n<tr>\n<td><code>france_terrorism_fatalities_by_year.csv</code></td>\n<td>The raw data behind the chart above</td>\n</tr>\n<tr>\n<td><code>eu_fatalities.png</code></td>\n<td>Total fatalities from terrorism incidents in the EU countries that joined in 1986 or earlier, from 1986 through 2014</td>\n</tr>\n<tr>\n<td><code>eu_terrorism_fatalities_by_year.csv</code></td>\n<td>The raw data behind the chart above</td>\n</tr>\n<tr>\n<td><code>eu_fatalities_by_country.png</code></td>\n<td>Total fatalities from terrorism incidents in the EU countries that joined in 1986 or earlier, for each country from 1972 through 2014</td>\n</tr>\n<tr>\n<td><code>eu_terrorism_fatalities_by_country.csv</code></td>\n<td>The raw data behind the chart above</td>\n</tr>\n<tr>\n<td><code>country_stats_1993_appendix2.csv</code></td>\n<td>This data is from Appendix II of the GTD codebook (found on pages 60-62); it includes country-level statistics on terrorism incidents in the year 1993.</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/terrorism/eu_terrorism_fatalities_by_year.csv",
                    "title": "France Terror Attacks: eu_terrorism_fatalities_by_year.csv"
                },
                "terrorism/france_terrorism_fatalities_by_year": {
                    "description_html": "<p>This directory contains data, code and charts behind the story <a href=\"http://fivethirtyeight.com/features/the-rise-of-religiously-inspired-terrorism-in-france/\">The Rise Of Religiously Inspired Terrorism In France</a>.</p>\n<p>The data source is the <a href=\"http://www.start.umd.edu/gtd/\">Global Terrorism Database</a> (GTD). Raw data files from the GTD were retrieved on November 13, 2015; however, the raw data can not be made public. The data is freely available at the GTD <a href=\"http://www.start.umd.edu/gtd/\">website</a>. Please see the GTD codebook -- the file <code>GTD_Codebook_2015Final.pdf</code> -- for more information.</p>\n<p>Note: incident-level data for the year 1993 does not exist in the GTD database. However, in appendenix II of the codebook, GTD provides country-level summary statistics for that year; that data is included in the file <code>country_stats_1993_appendix2.csv</code>.</p>\n<p>The FiveThirtyEight analysis is contained in the following files:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Notes</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>paris_terror_analysis.R</code></td>\n<td>An R script that loads the GTD raw data and performs analysis</td>\n</tr>\n<tr>\n<td><code>france_fatalities.png</code></td>\n<td>Total fatalities from terrorism incidents in France, by year (from 1972 through 2014)</td>\n</tr>\n<tr>\n<td><code>france_terrorism_fatalities_by_year.csv</code></td>\n<td>The raw data behind the chart above</td>\n</tr>\n<tr>\n<td><code>eu_fatalities.png</code></td>\n<td>Total fatalities from terrorism incidents in the EU countries that joined in 1986 or earlier, from 1986 through 2014</td>\n</tr>\n<tr>\n<td><code>eu_terrorism_fatalities_by_year.csv</code></td>\n<td>The raw data behind the chart above</td>\n</tr>\n<tr>\n<td><code>eu_fatalities_by_country.png</code></td>\n<td>Total fatalities from terrorism incidents in the EU countries that joined in 1986 or earlier, for each country from 1972 through 2014</td>\n</tr>\n<tr>\n<td><code>eu_terrorism_fatalities_by_country.csv</code></td>\n<td>The raw data behind the chart above</td>\n</tr>\n<tr>\n<td><code>country_stats_1993_appendix2.csv</code></td>\n<td>This data is from Appendix II of the GTD codebook (found on pages 60-62); it includes country-level statistics on terrorism incidents in the year 1993.</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/terrorism/france_terrorism_fatalities_by_year.csv",
                    "title": "France Terror Attacks: france_terrorism_fatalities_by_year.csv"
                },
                "elo-blatter/elo_blatter": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/blatters-reign-at-fifa-hasnt-helped-soccers-poor/\">Blatter\u2019s Reign At FIFA Hasn\u2019t Helped Soccer\u2019s Poor</a>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>country</code></td>\n<td>FIFA member country</td>\n</tr>\n<tr>\n<td><code>elo98</code></td>\n<td>The team's Elo in 1998</td>\n</tr>\n<tr>\n<td><code>elo15</code></td>\n<td>The team's Elo in 2015</td>\n</tr>\n<tr>\n<td><code>confederation</code></td>\n<td>Confederation to which country belongs</td>\n</tr>\n<tr>\n<td><code>gdp06</code></td>\n<td>The country's purchasing power parity GDP as of 2006</td>\n</tr>\n<tr>\n<td><code>popu06</code></td>\n<td>The country's 2006 population</td>\n</tr>\n<tr>\n<td><code>gdp_source</code></td>\n<td>Source for <code>gdp06</code></td>\n</tr>\n<tr>\n<td><code>popu_source</code></td>\n<td>Source for <code>popu06</code></td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/elo-blatter/elo_blatter.csv",
                    "title": "FIFA Teams Under Blatter: elo_blatter.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "presidential-candidate-favorables-2019/favorability_polls_rv_2019": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/the-democratic-presidential-candidates-are-becoming-less-popular/\">The Democratic Presidential Candidates Are Becoming Less Popular</a></p>\n<p><code>favorability_polls_rv_2019.csv</code> contains polls that asked registered voters whether they had favorable or unfavorable opinion of the leading Democratic presidential primary candidates and President Trump. Polls range from Jan. 1, 2019 to Dec. 11, 2019.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/presidential-candidate-favorables-2019/favorability_polls_rv_2019.csv",
                    "title": "presidential-candidate-favorables-2019: favorability_polls_rv_2019.csv"
                },
                "comic-characters/dc-wikia-data": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/women-in-comic-books/\">Comic Books Are Still Made By Men, For Men And About Men</a>.</p>\n<p>The data comes from <a href=\"http://marvel.wikia.com/Main_Page\">Marvel Wikia</a> and <a href=\"http://dc.wikia.com/wiki/Main_Page\">DC Wikia</a>. Characters were scraped on August 24. Appearance counts were scraped on September 2. The month and year of the first issue each character appeared in was pulled on October 6.</p>\n<p>The data is split into two files, for DC and Marvel, respectively: <code>dc-wikia-data.csv</code> and <code>marvel-wikia-data.csv</code>. Each file has the following variables:</p>\n<table>\n<thead>\n<tr>\n<th>Variable</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>page_id</code></td>\n<td>The unique identifier for that characters page within the wikia</td>\n</tr>\n<tr>\n<td><code>name</code></td>\n<td>The name of the character</td>\n</tr>\n<tr>\n<td><code>urlslug</code></td>\n<td>The unique url within the wikia that takes you to the character</td>\n</tr>\n<tr>\n<td><code>ID</code></td>\n<td>The identity status of the character (Secret Identity, Public identity, [on marvel only: No Dual Identity])</td>\n</tr>\n<tr>\n<td><code>ALIGN</code></td>\n<td>If the character is Good, Bad or Neutral</td>\n</tr>\n<tr>\n<td><code>EYE</code></td>\n<td>Eye color of the character</td>\n</tr>\n<tr>\n<td><code>HAIR</code></td>\n<td>Hair color of the character</td>\n</tr>\n<tr>\n<td><code>SEX</code></td>\n<td>Sex of the character (e.g. Male, Female, etc.)</td>\n</tr>\n<tr>\n<td><code>GSM</code></td>\n<td>If the character is a gender or sexual minority (e.g. Homosexual characters, bisexual characters)</td>\n</tr>\n<tr>\n<td><code>ALIVE</code></td>\n<td>If the character is alive or deceased</td>\n</tr>\n<tr>\n<td><code>APPEARANCES</code></td>\n<td>The number of appareances of the character in comic books (as of Sep. 2, 2014. Number will become increasingly out of date as time goes on.)</td>\n</tr>\n<tr>\n<td><code>FIRST APPEARANCE</code></td>\n<td>The month and year of the character's first appearance in a comic book, if available</td>\n</tr>\n<tr>\n<td><code>YEAR</code></td>\n<td>The year of the character's first appearance in a comic book, if available</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/comic-characters/dc-wikia-data.csv",
                    "title": "Comic Characters: dc-wikia-data.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "comic-characters/marvel-wikia-data": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/women-in-comic-books/\">Comic Books Are Still Made By Men, For Men And About Men</a>.</p>\n<p>The data comes from <a href=\"http://marvel.wikia.com/Main_Page\">Marvel Wikia</a> and <a href=\"http://dc.wikia.com/wiki/Main_Page\">DC Wikia</a>. Characters were scraped on August 24. Appearance counts were scraped on September 2. The month and year of the first issue each character appeared in was pulled on October 6.</p>\n<p>The data is split into two files, for DC and Marvel, respectively: <code>dc-wikia-data.csv</code> and <code>marvel-wikia-data.csv</code>. Each file has the following variables:</p>\n<table>\n<thead>\n<tr>\n<th>Variable</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>page_id</code></td>\n<td>The unique identifier for that characters page within the wikia</td>\n</tr>\n<tr>\n<td><code>name</code></td>\n<td>The name of the character</td>\n</tr>\n<tr>\n<td><code>urlslug</code></td>\n<td>The unique url within the wikia that takes you to the character</td>\n</tr>\n<tr>\n<td><code>ID</code></td>\n<td>The identity status of the character (Secret Identity, Public identity, [on marvel only: No Dual Identity])</td>\n</tr>\n<tr>\n<td><code>ALIGN</code></td>\n<td>If the character is Good, Bad or Neutral</td>\n</tr>\n<tr>\n<td><code>EYE</code></td>\n<td>Eye color of the character</td>\n</tr>\n<tr>\n<td><code>HAIR</code></td>\n<td>Hair color of the character</td>\n</tr>\n<tr>\n<td><code>SEX</code></td>\n<td>Sex of the character (e.g. Male, Female, etc.)</td>\n</tr>\n<tr>\n<td><code>GSM</code></td>\n<td>If the character is a gender or sexual minority (e.g. Homosexual characters, bisexual characters)</td>\n</tr>\n<tr>\n<td><code>ALIVE</code></td>\n<td>If the character is alive or deceased</td>\n</tr>\n<tr>\n<td><code>APPEARANCES</code></td>\n<td>The number of appareances of the character in comic books (as of Sep. 2, 2014. Number will become increasingly out of date as time goes on.)</td>\n</tr>\n<tr>\n<td><code>FIRST APPEARANCE</code></td>\n<td>The month and year of the character's first appearance in a comic book, if available</td>\n</tr>\n<tr>\n<td><code>YEAR</code></td>\n<td>The year of the character's first appearance in a comic book, if available</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/comic-characters/marvel-wikia-data.csv",
                    "title": "Comic Characters: marvel-wikia-data.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "endorsements-june-30/endorsements-june-30": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/pols-and-polls-say-the-same-thing-jeb-bush-is-a-weak-front-runner/\">Pols And Polls Say The Same Thing: Jeb Bush Is A Weak Front-Runner</a>.</p>\n<p>This data includes something we call \"endorsement points,\" an attempt to quantify the importance of endorsements by weighting each one according to the position held by the endorser: 10 points for each governor, 5 points for each senator and 1 point for each representative.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>year</code></td>\n<td>Election year</td>\n</tr>\n<tr>\n<td><code>party</code></td>\n<td>Political party</td>\n</tr>\n<tr>\n<td><code>candidate</code></td>\n<td>Candidate running in primary</td>\n</tr>\n<tr>\n<td><code>endorsement_points</code></td>\n<td>Weighted endorsements through June 30th of the year before the primary</td>\n</tr>\n<tr>\n<td><code>percentage_endorsement_points</code></td>\n<td>Percentage of total weighted endorsement points for the candidate's political party through June 30th of the year before the primary</td>\n</tr>\n<tr>\n<td><code>money_raised</code></td>\n<td>Money raised through June 30th of the year before the primary</td>\n</tr>\n<tr>\n<td><code>percentage_of_money</code></td>\n<td>Percentage of total money raised by the candidate's political party through June 30th of the year before the primary</td>\n</tr>\n<tr>\n<td><code>primary_vote_percentage</code></td>\n<td>Percentage of votes won in the primary</td>\n</tr>\n<tr>\n<td><code>won_primary</code></td>\n<td>Did the candidate win the primary?</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/endorsements-june-30/endorsements-june-30.csv",
                    "title": "Endorsements through June 30: endorsements-june-30.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "pew-religions/current": {
                    "description_html": "<p>This directory contains the code and data behind the story <a href=\"http://fivethirtyeight.com/datalab/evangelical-protestants-are-the-biggest-winners-when-people-change-faiths/\">Evangelical Protestants Are The Biggest Winners When People Change Faiths</a>.</p>\n<p>The model uses the <a href=\"http://www.pewforum.org/2015/05/12/americas-changing-religious-landscape/\">Pew Research Center's 2014 Religious Landscape Survey</a> to measure the relative \"pull\" of different American religious groups by using Pew's transition matrix for rates of conversions between various faiths to compute what the eventual, stable proportions of religious faiths would be, if people kept leaving and joining faiths at the current rates until the overall numbers stabilized.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/pew-religions/current.csv",
                    "title": "Pew Religions Model: current.csv"
                },
                "ncaa-womens-basketball-tournament/ncaa-womens-basketball-tournament-history": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/louisiana-tech-was-the-uconn-of-the-80s/\">The Rise And Fall Of Women\u2019s NCAA Tournament Dynasties</a>.</p>\n<p><code>womens_basketball_ncaa_history.csv</code> contains data for every team that has participated in the NCAA Division I Women\u2019s Basketball Tournament since it began in 1982. Every school is shown with its seed, conference record (when available), regular-season record, tournament record and full season record, including winning percentages. More information about select columns is in the table below. All data is from the NCAA.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Notes</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>seed</code></td>\n<td>The <code>(OR)</code> seeding designation in 1983 notes the eight teams that played an opening-round game to become the No. 8 seed in each region.</td>\n</tr>\n<tr>\n<td><code>How qual</code></td>\n<td>Whether the school qualified with an automatic bid (by winning its conference or conference tournament) or an at-large bid.</td>\n</tr>\n<tr>\n<td><code>1st game at home</code></td>\n<td>Whether the school played its first-round tournament games on its home court.</td>\n</tr>\n<tr>\n<td><code>Tourney finish</code></td>\n<td>The round of the final game for each team. OR=opening-round loss (1983 only); 1st=first-round loss; 2nd=second-round loss; RSF=loss in the Sweet 16; RF=loss in the Elite Eight; NSF=loss in the national semifinals; N2nd=national runner-up; Champ=national champions</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/ncaa-womens-basketball-tournament/ncaa-womens-basketball-tournament-history.csv",
                    "title": "NCAA Women's Basketball Tournament: ncaa-womens-basketball-tournament-history.csv"
                },
                "police-deaths/clean_data": {
                    "description_html": "<p>This directory contains the data and code behind the story <a href=\"https://fivethirtyeight.com/features/the-dallas-shooting-was-among-the-deadliest-for-police-in-u-s-history/\">The Dallas Shooting Was Among The Deadliest For Police In U.S. History</a>. The primary source of data is the <a href=\"https://www.odmp.org/\">Officer Down Memorial Page</a> (ODMP), started in 1996 by a college student who is now a police officer and who continues to maintain the database.</p>\n<p>File descriptions:</p>\n<table>\n<thead>\n<tr>\n<th>File</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>scrape.R</code></td>\n<td>Scrapes data on the death of every officer tracked on ODMP</td>\n</tr>\n<tr>\n<td><code>all_data.csv</code></td>\n<td>Output of <code>scrape.R</code></td>\n</tr>\n<tr>\n<td><code>clean.R</code></td>\n<td>Takes the data in <code>all_data.csv</code>, cleans it and formats the dates correctly, and tags every entry as human or canine.</td>\n</tr>\n<tr>\n<td><code>clean_data.csv</code></td>\n<td>Output of <code>clean.R</code></td>\n</tr>\n<tr>\n<td><code>plot.R</code></td>\n<td>Summarizes police deaths by category and generates a plot similar to the one below</td>\n</tr>\n</tbody>\n</table>\n<p><img alt=\"\" src=\"https://i1.wp.com/espnfivethirtyeight.files.wordpress.com/2016/07/bialik-flowers-king-police-deaths-1.png\" /></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/police-deaths/clean_data.csv",
                    "title": "Police Deaths: clean_data.csv"
                },
                "police-deaths/all_data": {
                    "description_html": "<p>This directory contains the data and code behind the story <a href=\"https://fivethirtyeight.com/features/the-dallas-shooting-was-among-the-deadliest-for-police-in-u-s-history/\">The Dallas Shooting Was Among The Deadliest For Police In U.S. History</a>. The primary source of data is the <a href=\"https://www.odmp.org/\">Officer Down Memorial Page</a> (ODMP), started in 1996 by a college student who is now a police officer and who continues to maintain the database.</p>\n<p>File descriptions:</p>\n<table>\n<thead>\n<tr>\n<th>File</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>scrape.R</code></td>\n<td>Scrapes data on the death of every officer tracked on ODMP</td>\n</tr>\n<tr>\n<td><code>all_data.csv</code></td>\n<td>Output of <code>scrape.R</code></td>\n</tr>\n<tr>\n<td><code>clean.R</code></td>\n<td>Takes the data in <code>all_data.csv</code>, cleans it and formats the dates correctly, and tags every entry as human or canine.</td>\n</tr>\n<tr>\n<td><code>clean_data.csv</code></td>\n<td>Output of <code>clean.R</code></td>\n</tr>\n<tr>\n<td><code>plot.R</code></td>\n<td>Summarizes police deaths by category and generates a plot similar to the one below</td>\n</tr>\n</tbody>\n</table>\n<p><img alt=\"\" src=\"https://i1.wp.com/espnfivethirtyeight.files.wordpress.com/2016/07/bialik-flowers-king-police-deaths-1.png\" /></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/police-deaths/all_data.csv",
                    "title": "Police Deaths: all_data.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "avengers/avengers": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"http://fivethirtyeight.com/features/avengers-death-comics-age-of-ultron\">Joining The Avengers Is As Deadly As Jumping Off A Four-Story Building</a>.</p>\n<p><code>avengers.csv</code> details the deaths of Marvel comic book characters between the time they joined the Avengers and April 30, 2015, the week before Secret Wars #1.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>URL</code></td>\n<td>The URL of the comic character on the Marvel Wikia</td>\n</tr>\n<tr>\n<td><code>Name/Alias</code></td>\n<td>The full name or alias of the character</td>\n</tr>\n<tr>\n<td><code>Appearances</code></td>\n<td>The number of comic books that character appeared in as of April 30</td>\n</tr>\n<tr>\n<td><code>Current?</code></td>\n<td>Is the member currently active on an avengers affiliated team?</td>\n</tr>\n<tr>\n<td><code>Gender</code></td>\n<td>The recorded gender of the character</td>\n</tr>\n<tr>\n<td><code>Probationary</code></td>\n<td>Sometimes the character was given probationary status as an Avenger, this is the date that happened</td>\n</tr>\n<tr>\n<td><code>Full/Reserve</code></td>\n<td>The month and year the character was introduced as a full or reserve member of the Avengers</td>\n</tr>\n<tr>\n<td><code>Year</code></td>\n<td>The year the character was introduced as a full or reserve member of the Avengers</td>\n</tr>\n<tr>\n<td><code>Years since joining</code></td>\n<td>2015 minus the year</td>\n</tr>\n<tr>\n<td><code>Honorary</code></td>\n<td>The status of the avenger, if they were given \"Honorary\" Avenger status, if they are simply in the \"Academy,\" or \"Full\" otherwise</td>\n</tr>\n<tr>\n<td><code>Death1</code></td>\n<td>Yes if the Avenger died, No if not.</td>\n</tr>\n<tr>\n<td><code>Return1</code></td>\n<td>Yes if the Avenger returned from their first death, No if  they did not, blank if not applicable</td>\n</tr>\n<tr>\n<td><code>Death2</code></td>\n<td>Yes if the Avenger died a second time after their revival, No if they did not, blank if not applicable</td>\n</tr>\n<tr>\n<td><code>Return2</code></td>\n<td>Yes if the Avenger returned from their second death, No if they did not, blank if not applicable</td>\n</tr>\n<tr>\n<td><code>Death3</code></td>\n<td>Yes if the Avenger died a third time after their second revival, No if they did not, blank if not applicable</td>\n</tr>\n<tr>\n<td><code>Return3</code></td>\n<td>Yes if the Avenger returned from their third death, No if they did not, blank if not applicable</td>\n</tr>\n<tr>\n<td><code>Death4</code></td>\n<td>Yes if the Avenger died a fourth time after their third revival, No if they did not, blank if not applicable</td>\n</tr>\n<tr>\n<td><code>Return4</code></td>\n<td>Yes if the Avenger returned from their fourth death, No if they did not, blank if not applicable</td>\n</tr>\n<tr>\n<td><code>Death5</code></td>\n<td>Yes if the Avenger died a fifth time after their fourth revival, No if they did not, blank if not applicable</td>\n</tr>\n<tr>\n<td><code>Return5</code></td>\n<td>Yes if the Avenger returned from their fifth death, No if they did not, blank if not applicable</td>\n</tr>\n<tr>\n<td><code>Notes</code></td>\n<td>Descriptions of deaths and resurrections.</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/avengers/avengers.csv",
                    "title": "Avengers: avengers.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-02": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-02.csv",
                    "title": "March Madness Predictions: bracket-02.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-44": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-44.csv",
                    "title": "March Madness Predictions: bracket-44.csv"
                },
                "march-madness-predictions/bracket-10": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-10.csv",
                    "title": "March Madness Predictions: bracket-10.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-34": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-34.csv",
                    "title": "March Madness Predictions: bracket-34.csv"
                },
                "march-madness-predictions/bracket-40": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-40.csv",
                    "title": "March Madness Predictions: bracket-40.csv"
                },
                "march-madness-predictions/bracket-35": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-35.csv",
                    "title": "March Madness Predictions: bracket-35.csv"
                },
                "march-madness-predictions/bracket-03": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-03.csv",
                    "title": "March Madness Predictions: bracket-03.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-38": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-38.csv",
                    "title": "March Madness Predictions: bracket-38.csv"
                },
                "march-madness-predictions/bracket-47": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-47.csv",
                    "title": "March Madness Predictions: bracket-47.csv"
                },
                "march-madness-predictions/bracket-23": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-23.csv",
                    "title": "March Madness Predictions: bracket-23.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-27": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-27.csv",
                    "title": "March Madness Predictions: bracket-27.csv"
                },
                "march-madness-predictions/bracket-59": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-59.csv",
                    "title": "March Madness Predictions: bracket-59.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-04": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-04.csv",
                    "title": "March Madness Predictions: bracket-04.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-07": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-07.csv",
                    "title": "March Madness Predictions: bracket-07.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-39": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-39.csv",
                    "title": "March Madness Predictions: bracket-39.csv"
                },
                "march-madness-predictions/bracket-22": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-22.csv",
                    "title": "March Madness Predictions: bracket-22.csv"
                },
                "march-madness-predictions/bracket-60": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-60.csv",
                    "title": "March Madness Predictions: bracket-60.csv"
                },
                "march-madness-predictions/bracket-18": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-18.csv",
                    "title": "March Madness Predictions: bracket-18.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-13": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-13.csv",
                    "title": "March Madness Predictions: bracket-13.csv"
                },
                "march-madness-predictions/bracket-53": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-53.csv",
                    "title": "March Madness Predictions: bracket-53.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-12": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-12.csv",
                    "title": "March Madness Predictions: bracket-12.csv"
                },
                "march-madness-predictions/bracket-31": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-31.csv",
                    "title": "March Madness Predictions: bracket-31.csv"
                },
                "march-madness-predictions/bracket-09": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-09.csv",
                    "title": "March Madness Predictions: bracket-09.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-01": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-01.csv",
                    "title": "March Madness Predictions: bracket-01.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-20": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-20.csv",
                    "title": "March Madness Predictions: bracket-20.csv"
                },
                "march-madness-predictions/bracket-33": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-33.csv",
                    "title": "March Madness Predictions: bracket-33.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-46": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-46.csv",
                    "title": "March Madness Predictions: bracket-46.csv"
                },
                "march-madness-predictions/bracket-52": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-52.csv",
                    "title": "March Madness Predictions: bracket-52.csv"
                },
                "march-madness-predictions/bracket-25": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-25.csv",
                    "title": "March Madness Predictions: bracket-25.csv"
                },
                "march-madness-predictions/bracket-28": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-28.csv",
                    "title": "March Madness Predictions: bracket-28.csv"
                },
                "march-madness-predictions/bracket-24": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-24.csv",
                    "title": "March Madness Predictions: bracket-24.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-30": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-30.csv",
                    "title": "March Madness Predictions: bracket-30.csv"
                },
                "march-madness-predictions/bracket-16": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-16.csv",
                    "title": "March Madness Predictions: bracket-16.csv"
                },
                "march-madness-predictions/bracket-49": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-49.csv",
                    "title": "March Madness Predictions: bracket-49.csv"
                },
                "march-madness-predictions/bracket-57": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-57.csv",
                    "title": "March Madness Predictions: bracket-57.csv"
                },
                "march-madness-predictions/bracket-00": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-00.csv",
                    "title": "March Madness Predictions: bracket-00.csv"
                },
                "march-madness-predictions/bracket-56": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-56.csv",
                    "title": "March Madness Predictions: bracket-56.csv"
                },
                "march-madness-predictions/bracket-36": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-36.csv",
                    "title": "March Madness Predictions: bracket-36.csv"
                },
                "march-madness-predictions/bracket-51": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-51.csv",
                    "title": "March Madness Predictions: bracket-51.csv"
                },
                "march-madness-predictions/bracket-43": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-43.csv",
                    "title": "March Madness Predictions: bracket-43.csv"
                },
                "march-madness-predictions/bracket-32": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-32.csv",
                    "title": "March Madness Predictions: bracket-32.csv"
                },
                "march-madness-predictions/bracket-58": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-58.csv",
                    "title": "March Madness Predictions: bracket-58.csv"
                },
                "march-madness-predictions/bracket-11": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-11.csv",
                    "title": "March Madness Predictions: bracket-11.csv"
                },
                "march-madness-predictions/bracket-37": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-37.csv",
                    "title": "March Madness Predictions: bracket-37.csv"
                },
                "march-madness-predictions/bracket-50": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-50.csv",
                    "title": "March Madness Predictions: bracket-50.csv"
                },
                "march-madness-predictions/bracket-15": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-15.csv",
                    "title": "March Madness Predictions: bracket-15.csv"
                },
                "march-madness-predictions/bracket-08": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-08.csv",
                    "title": "March Madness Predictions: bracket-08.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-42": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-42.csv",
                    "title": "March Madness Predictions: bracket-42.csv"
                },
                "march-madness-predictions/bracket-06": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-06.csv",
                    "title": "March Madness Predictions: bracket-06.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-45": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-45.csv",
                    "title": "March Madness Predictions: bracket-45.csv"
                },
                "march-madness-predictions/bracket-05": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-05.csv",
                    "title": "March Madness Predictions: bracket-05.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "march-madness-predictions/bracket-29": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-29.csv",
                    "title": "March Madness Predictions: bracket-29.csv"
                },
                "march-madness-predictions/bracket-61": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-61.csv",
                    "title": "March Madness Predictions: bracket-61.csv"
                },
                "march-madness-predictions/bracket-19": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-19.csv",
                    "title": "March Madness Predictions: bracket-19.csv"
                },
                "march-madness-predictions/bracket-41": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-41.csv",
                    "title": "March Madness Predictions: bracket-41.csv"
                },
                "march-madness-predictions/bracket-54": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-54.csv",
                    "title": "March Madness Predictions: bracket-54.csv"
                },
                "march-madness-predictions/bracket-14": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-14.csv",
                    "title": "March Madness Predictions: bracket-14.csv"
                },
                "march-madness-predictions/bracket-21": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-21.csv",
                    "title": "March Madness Predictions: bracket-21.csv"
                },
                "march-madness-predictions/bracket-55": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-55.csv",
                    "title": "March Madness Predictions: bracket-55.csv"
                },
                "march-madness-predictions/bracket-48": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-48.csv",
                    "title": "March Madness Predictions: bracket-48.csv"
                },
                "march-madness-predictions/bracket-26": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-26.csv",
                    "title": "March Madness Predictions: bracket-26.csv"
                },
                "march-madness-predictions/bracket-17": {
                    "description_html": "<p>This table contains data behind the <a href=\"http://fivethirtyeight.com/interactives/march-madness-predictions/\">2014 NCAA Tournament Predictions</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/march-madness-predictions/bracket-17.csv",
                    "title": "March Madness Predictions: bracket-17.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "drug-use-by-age/drug-use-by-age": {
                    "description_html": "<p>This directory contains data behind the story <a href=\"http://fivethirtyeight.com/datalab/how-baby-boomers-get-high/\">How Baby Boomers Get High</a>. It covers 13 drugs across 17 age groups.</p>\n<p>Source: <a href=\"http://www.icpsr.umich.edu/icpsrweb/content/SAMHDA/index.html\">National Survey on Drug Use and Health from the Substance Abuse and Mental Health Data Archive</a>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>alcohol-use</code></td>\n<td>Percentage of those in an age group who used alcohol in the past 12 months</td>\n</tr>\n<tr>\n<td><code>alcohol-frequency</code></td>\n<td>Median number of times a user in an age group used alcohol in the past 12 months</td>\n</tr>\n<tr>\n<td><code>marijuana-use</code></td>\n<td>Percentage of those in an age group who used marijuana in the past 12 months</td>\n</tr>\n<tr>\n<td><code>marijuana-frequency</code></td>\n<td>Median number of times a user in an age group used marijuana in the past 12 months</td>\n</tr>\n<tr>\n<td><code>cocaine-use</code></td>\n<td>Percentage of those in an age group who used cocaine in the past 12 months</td>\n</tr>\n<tr>\n<td><code>cocaine-frequency</code></td>\n<td>Median number of times a user in an age group used cocaine in the past 12 months</td>\n</tr>\n<tr>\n<td><code>crack-use</code></td>\n<td>Percentage of those in an age group who used crack in the past 12 months</td>\n</tr>\n<tr>\n<td><code>crack-frequency</code></td>\n<td>Median number of times a user in an age group used crack in the past 12 months</td>\n</tr>\n<tr>\n<td><code>heroin-use</code></td>\n<td>Percentage of those in an age group who used heroin in the past 12 months</td>\n</tr>\n<tr>\n<td><code>heroin-frequency</code></td>\n<td>Median number of times a user in an age group used heroin in the past 12 months</td>\n</tr>\n<tr>\n<td><code>hallucinogen-use</code></td>\n<td>Percentage of those in an age group who used hallucinogens in the past 12 months</td>\n</tr>\n<tr>\n<td><code>hallucinogen-frequency</code></td>\n<td>Median number of times a user in an age group used hallucinogens in the past 12 months</td>\n</tr>\n<tr>\n<td><code>inhalant-use</code></td>\n<td>Percentage of those in an age group who used inhalants in the past 12 months</td>\n</tr>\n<tr>\n<td><code>inhalant-frequency</code></td>\n<td>Median number of times a user in an age group used inhalants in the past 12 months</td>\n</tr>\n<tr>\n<td><code>pain-releiver-use</code></td>\n<td>Percentage of those in an age group who used pain relievers in the past 12 months</td>\n</tr>\n<tr>\n<td><code>pain-releiver-frequency</code></td>\n<td>Median number of times a user in an age group used pain relievers in the past 12 months</td>\n</tr>\n<tr>\n<td><code>oxycontin-use</code></td>\n<td>Percentage of those in an age group who used oxycontin in the past 12 months</td>\n</tr>\n<tr>\n<td><code>oxycontin-frequency</code></td>\n<td>Median number of times a user in an age group used oxycontin in the past 12 months</td>\n</tr>\n<tr>\n<td><code>tranquilizer-use</code></td>\n<td>Percentage of those in an age group who used tranquilizer in the past 12 months</td>\n</tr>\n<tr>\n<td><code>tranquilizer-frequency</code></td>\n<td>Median number of times a user in an age group used tranquilizer in the past 12 months</td>\n</tr>\n<tr>\n<td><code>stimulant-use</code></td>\n<td>Percentage of those in an age group who used stimulants in the past 12 months</td>\n</tr>\n<tr>\n<td><code>stimulant-frequency</code></td>\n<td>Median number of times a user in an age group used stimulants in the past 12 months</td>\n</tr>\n<tr>\n<td><code>meth-use</code></td>\n<td>Percentage of those in an age group who used meth in the past 12 months</td>\n</tr>\n<tr>\n<td><code>meth-frequency</code></td>\n<td>Median number of times a user in an age group used meth in the past 12 months</td>\n</tr>\n<tr>\n<td><code>sedative-use</code></td>\n<td>Percentage of those in an age group who used sedatives in the past 12 months</td>\n</tr>\n<tr>\n<td><code>sedative-frequency</code></td>\n<td>Median number of times a user in an age group used sedatives in the past 12 months</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/drug-use-by-age/drug-use-by-age.csv",
                    "title": "Drug Use By Age: drug-use-by-age.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "riddler-castles/castle-solutions-4": {
                    "description_html": "<p>This directory contains the data behind the submissions for castles puzzle.</p>\n<ul>\n<li><code>castle-solutions.csv</code> contains the submissions for <a href=\"https://fivethirtyeight.com/features/can-you-rule-riddler-nation/\">Can You Rule Riddler Nation?</a></li>\n<li><code>castle-solutions-2.csv</code> contains the submissions for <a href=\"http://fivethirtyeight.com/features/the-battle-for-riddler-nation-round-2/\">The Battle For Riddler Nation, Round 2</a></li>\n<li><code>castle-solutions-3.csv</code> contains the submissions for <a href=\"https://fivethirtyeight.com/features/are-you-the-best-warlord/\">Are You The Best Warlord?</a></li>\n<li><code>castle-solutions-4.csv</code> contains the submissions for <a href=\"https://fivethirtyeight.com/features/a-peaceful-but-not-peaceful-transition-of-power-in-riddler-nation/\">A Peaceful (But Not Peaceful) Transition Of Power In Riddler Nation</a></li>\n</ul>\n<p>Readers were asked to submit a strategy for the following \u201cColonel Blotto\u201d-style game:</p>\n<blockquote>\n<p>In a distant, war-torn land, there are 10 castles. There are two warlords: you and your archenemy. Each castle has its own strategic value for a would-be conqueror. Specifically, the castles are worth 1, 2, 3, \u2026, 9, and 10 victory points. You and your enemy each have 100 soldiers to distribute, any way you like, to fight at any of the 10 castles. Whoever sends more soldiers to a given castle conquers that castle and wins its victory points. If you each send the same number of troops, you split the points. You don\u2019t know what distribution of forces your enemy has chosen until the battles begin. Whoever wins the most points wins the war. </p>\n<p>Submit a plan distributing your 100 soldiers among the 10 castles. Once I receive all your battle plans, I\u2019ll adjudicate all the possible one-on-one matchups. Whoever wins the most wars wins the battle royale and is crowned king or queen of Riddler Nation!</p>\n</blockquote>\n<p>The data includes all valid submissions, with solvers\u2019 identifying information removed. The 11 columns represent the soldiers deployed to each of the 10 castles, plus a column where the reader could describe his or her strategic approach.</p>\n<h4>Correction</h4>\n<p>Please see the following commit:\nhttps://github.com/fivethirtyeight/data/commit/c3f808fda5b67aa26ea6fa663ddd4d2eb7c6187f</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/riddler-castles/castle-solutions-4.csv",
                    "title": "Riddler - Solutions to Castles Puzzle: castle-solutions-4.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "riddler-castles/castle-solutions-3": {
                    "description_html": "<p>This directory contains the data behind the submissions for castles puzzle.</p>\n<ul>\n<li><code>castle-solutions.csv</code> contains the submissions for <a href=\"https://fivethirtyeight.com/features/can-you-rule-riddler-nation/\">Can You Rule Riddler Nation?</a></li>\n<li><code>castle-solutions-2.csv</code> contains the submissions for <a href=\"http://fivethirtyeight.com/features/the-battle-for-riddler-nation-round-2/\">The Battle For Riddler Nation, Round 2</a></li>\n<li><code>castle-solutions-3.csv</code> contains the submissions for <a href=\"https://fivethirtyeight.com/features/are-you-the-best-warlord/\">Are You The Best Warlord?</a></li>\n<li><code>castle-solutions-4.csv</code> contains the submissions for <a href=\"https://fivethirtyeight.com/features/a-peaceful-but-not-peaceful-transition-of-power-in-riddler-nation/\">A Peaceful (But Not Peaceful) Transition Of Power In Riddler Nation</a></li>\n</ul>\n<p>Readers were asked to submit a strategy for the following \u201cColonel Blotto\u201d-style game:</p>\n<blockquote>\n<p>In a distant, war-torn land, there are 10 castles. There are two warlords: you and your archenemy. Each castle has its own strategic value for a would-be conqueror. Specifically, the castles are worth 1, 2, 3, \u2026, 9, and 10 victory points. You and your enemy each have 100 soldiers to distribute, any way you like, to fight at any of the 10 castles. Whoever sends more soldiers to a given castle conquers that castle and wins its victory points. If you each send the same number of troops, you split the points. You don\u2019t know what distribution of forces your enemy has chosen until the battles begin. Whoever wins the most points wins the war. </p>\n<p>Submit a plan distributing your 100 soldiers among the 10 castles. Once I receive all your battle plans, I\u2019ll adjudicate all the possible one-on-one matchups. Whoever wins the most wars wins the battle royale and is crowned king or queen of Riddler Nation!</p>\n</blockquote>\n<p>The data includes all valid submissions, with solvers\u2019 identifying information removed. The 11 columns represent the soldiers deployed to each of the 10 castles, plus a column where the reader could describe his or her strategic approach.</p>\n<h4>Correction</h4>\n<p>Please see the following commit:\nhttps://github.com/fivethirtyeight/data/commit/c3f808fda5b67aa26ea6fa663ddd4d2eb7c6187f</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/riddler-castles/castle-solutions-3.csv",
                    "title": "Riddler - Solutions to Castles Puzzle: castle-solutions-3.csv"
                },
                "riddler-castles/castle-solutions": {
                    "description_html": "<p>This directory contains the data behind the submissions for castles puzzle.</p>\n<ul>\n<li><code>castle-solutions.csv</code> contains the submissions for <a href=\"https://fivethirtyeight.com/features/can-you-rule-riddler-nation/\">Can You Rule Riddler Nation?</a></li>\n<li><code>castle-solutions-2.csv</code> contains the submissions for <a href=\"http://fivethirtyeight.com/features/the-battle-for-riddler-nation-round-2/\">The Battle For Riddler Nation, Round 2</a></li>\n<li><code>castle-solutions-3.csv</code> contains the submissions for <a href=\"https://fivethirtyeight.com/features/are-you-the-best-warlord/\">Are You The Best Warlord?</a></li>\n<li><code>castle-solutions-4.csv</code> contains the submissions for <a href=\"https://fivethirtyeight.com/features/a-peaceful-but-not-peaceful-transition-of-power-in-riddler-nation/\">A Peaceful (But Not Peaceful) Transition Of Power In Riddler Nation</a></li>\n</ul>\n<p>Readers were asked to submit a strategy for the following \u201cColonel Blotto\u201d-style game:</p>\n<blockquote>\n<p>In a distant, war-torn land, there are 10 castles. There are two warlords: you and your archenemy. Each castle has its own strategic value for a would-be conqueror. Specifically, the castles are worth 1, 2, 3, \u2026, 9, and 10 victory points. You and your enemy each have 100 soldiers to distribute, any way you like, to fight at any of the 10 castles. Whoever sends more soldiers to a given castle conquers that castle and wins its victory points. If you each send the same number of troops, you split the points. You don\u2019t know what distribution of forces your enemy has chosen until the battles begin. Whoever wins the most points wins the war. </p>\n<p>Submit a plan distributing your 100 soldiers among the 10 castles. Once I receive all your battle plans, I\u2019ll adjudicate all the possible one-on-one matchups. Whoever wins the most wars wins the battle royale and is crowned king or queen of Riddler Nation!</p>\n</blockquote>\n<p>The data includes all valid submissions, with solvers\u2019 identifying information removed. The 11 columns represent the soldiers deployed to each of the 10 castles, plus a column where the reader could describe his or her strategic approach.</p>\n<h4>Correction</h4>\n<p>Please see the following commit:\nhttps://github.com/fivethirtyeight/data/commit/c3f808fda5b67aa26ea6fa663ddd4d2eb7c6187f</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/riddler-castles/castle-solutions.csv",
                    "title": "Riddler - Solutions to Castles Puzzle: castle-solutions.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "riddler-castles/castle-solutions-2": {
                    "description_html": "<p>This directory contains the data behind the submissions for castles puzzle.</p>\n<ul>\n<li><code>castle-solutions.csv</code> contains the submissions for <a href=\"https://fivethirtyeight.com/features/can-you-rule-riddler-nation/\">Can You Rule Riddler Nation?</a></li>\n<li><code>castle-solutions-2.csv</code> contains the submissions for <a href=\"http://fivethirtyeight.com/features/the-battle-for-riddler-nation-round-2/\">The Battle For Riddler Nation, Round 2</a></li>\n<li><code>castle-solutions-3.csv</code> contains the submissions for <a href=\"https://fivethirtyeight.com/features/are-you-the-best-warlord/\">Are You The Best Warlord?</a></li>\n<li><code>castle-solutions-4.csv</code> contains the submissions for <a href=\"https://fivethirtyeight.com/features/a-peaceful-but-not-peaceful-transition-of-power-in-riddler-nation/\">A Peaceful (But Not Peaceful) Transition Of Power In Riddler Nation</a></li>\n</ul>\n<p>Readers were asked to submit a strategy for the following \u201cColonel Blotto\u201d-style game:</p>\n<blockquote>\n<p>In a distant, war-torn land, there are 10 castles. There are two warlords: you and your archenemy. Each castle has its own strategic value for a would-be conqueror. Specifically, the castles are worth 1, 2, 3, \u2026, 9, and 10 victory points. You and your enemy each have 100 soldiers to distribute, any way you like, to fight at any of the 10 castles. Whoever sends more soldiers to a given castle conquers that castle and wins its victory points. If you each send the same number of troops, you split the points. You don\u2019t know what distribution of forces your enemy has chosen until the battles begin. Whoever wins the most points wins the war. </p>\n<p>Submit a plan distributing your 100 soldiers among the 10 castles. Once I receive all your battle plans, I\u2019ll adjudicate all the possible one-on-one matchups. Whoever wins the most wars wins the battle royale and is crowned king or queen of Riddler Nation!</p>\n</blockquote>\n<p>The data includes all valid submissions, with solvers\u2019 identifying information removed. The 11 columns represent the soldiers deployed to each of the 10 castles, plus a column where the reader could describe his or her strategic approach.</p>\n<h4>Correction</h4>\n<p>Please see the following commit:\nhttps://github.com/fivethirtyeight/data/commit/c3f808fda5b67aa26ea6fa663ddd4d2eb7c6187f</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/riddler-castles/castle-solutions-2.csv",
                    "title": "Riddler - Solutions to Castles Puzzle: castle-solutions-2.csv"
                },
                "candy-power-ranking/candy-data": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"http://fivethirtyeight.com/features/the-ultimate-halloween-candy-power-ranking/\">The Ultimate Halloween Candy Power Ranking</a>.</p>\n<p><code>candy-data.csv</code> includes attributes for each candy along with its ranking. For binary variables, 1 means yes, 0 means no.</p>\n<p>The data contains the following fields:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>chocolate</td>\n<td>Does it contain chocolate?</td>\n</tr>\n<tr>\n<td>fruity</td>\n<td>Is it fruit flavored?</td>\n</tr>\n<tr>\n<td>caramel</td>\n<td>Is there caramel in the candy?</td>\n</tr>\n<tr>\n<td>peanutalmondy</td>\n<td>Does it contain peanuts, peanut butter or almonds?</td>\n</tr>\n<tr>\n<td>nougat</td>\n<td>Does it contain nougat?</td>\n</tr>\n<tr>\n<td>crispedricewafer</td>\n<td>Does it contain crisped rice, wafers, or a cookie component?</td>\n</tr>\n<tr>\n<td>hard</td>\n<td>Is it a hard candy?</td>\n</tr>\n<tr>\n<td>bar</td>\n<td>Is it a candy bar?</td>\n</tr>\n<tr>\n<td>pluribus</td>\n<td>Is it one of many candies in a bag or box?</td>\n</tr>\n<tr>\n<td>sugarpercent</td>\n<td>The percentile of sugar it falls under within the data set.</td>\n</tr>\n<tr>\n<td>pricepercent</td>\n<td>The unit price percentile compared to the rest of the set.</td>\n</tr>\n<tr>\n<td>winpercent</td>\n<td>The overall win percentage according to 269,000 matchups.</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/candy-power-ranking/candy-data.csv",
                    "title": "Candy Power Ranking: candy-data.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "presidential-commencement-speeches/commencement_speeches": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/sitting-presidents-give-way-more-commencement-speeches-than-they-used-to/\">Sitting Presidents Give Way More Commencement Speeches Than They Used To</a></p>\n<p>Data does not include commencement speeches by President Obama in 2016.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>president</code></td>\n<td>Number of president (33 is Harry Truman, the 33rd president; 44 is Barack Obama, the 44th president)</td>\n</tr>\n<tr>\n<td><code>president_name</code></td>\n<td>Name of president</td>\n</tr>\n<tr>\n<td><code>title</code></td>\n<td>Description of commencement speech</td>\n</tr>\n<tr>\n<td><code>date</code></td>\n<td>Date speech was delivered</td>\n</tr>\n<tr>\n<td><code>city</code></td>\n<td>City where speech was delivered</td>\n</tr>\n<tr>\n<td><code>state</code></td>\n<td>state where speech was delivered</td>\n</tr>\n<tr>\n<td><code>building</code></td>\n<td>Name of building in which speech was delivered</td>\n</tr>\n<tr>\n<td><code>room</code></td>\n<td>Room in which speech was delivered</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://www.presidency.ucsb.edu/\">American Presidency Project</a>, Gerhard Peters and John T. Woolley</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/presidential-commencement-speeches/commencement_speeches.csv",
                    "title": "Presidential Commencement Speeches: commencement_speeches.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "mueller-polls/mueller-approval-polls": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/both-parties-think-the-mueller-report-was-fair-they-just-disagree-on-what-it-says/\">Both Parties Think The Mueller Report Was Fair. They Just Completely Disagree On What It Says.</a></p>\n<p><code>mueller-approval-polls.csv</code> contains every job approval poll of Robert Mueller that we could find from when Mueller was appointed as special council on May 17, 2017 through May 3, 2019.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/mueller-polls/mueller-approval-polls.csv"
                },
                "undefeated-boxers/undefeated": {
                    "description_html": "<p>This directory contains the data behind the story <a href=\"https://fivethirtyeight.com/features/mayweather-is-defined-by-the-zero-next-to-his-name/\">Mayweather Is Defined By The Zero Next To His Name</a>.</p>\n<p>Data on boxing matches of undefeated boxers from <a href=\"http://boxrec.com/\">http://boxrec.com/</a>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>name</td>\n<td>Boxer's Name</td>\n</tr>\n<tr>\n<td>date</td>\n<td>Date of the match</td>\n</tr>\n<tr>\n<td>wins</td>\n<td>Number of cumulative wins for the boxer including the match at the specified date</td>\n</tr>\n<tr>\n<td>url</td>\n<td>URL with boxer's record</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/undefeated-boxers/undefeated.csv",
                    "title": "Undefeated Boxers: undefeated.csv"
                },
                "alcohol-consumption/drinks": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"http://fivethirtyeight.com/datalab/dear-mona-followup-where-do-people-drink-the-most-beer-wine-and-spirits/\">Dear Mona Followup: Where Do People Drink The Most Beer, Wine And Spirits?</a></p>\n<p>Units: Average serving sizes per person\nSource: World Health Organisation, Global Information System on Alcohol and Health (GISAH), 2010</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/alcohol-consumption/drinks.csv",
                    "title": "Alcohol Consumption: drinks.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "mayweather-mcgregor/tweets": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/?post_type=fte_features&amp;p=161615\">The Mayweather-McGregor Fight As Told Through Emojis</a>.</p>\n<p><code>tweets.csv</code> contains 12,118 tweets that contain one or more emojis and match one or more of the following hashtags: #MayMac, #MayweatherMcGregor, #MayweatherVMcGregor, #MayweatherVsMcGregor, #McGregor and #Mayweather. Data was collected on August 27, 2017 between 12:05 a.m. and 1:15 a.m. EDT using the Twitter streaming API.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/mayweather-mcgregor/tweets.csv",
                    "title": "Mayweather vs McGregor: tweets.csv"
                },
                "tennis-time/events_time": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/why-some-tennis-matches-take-forever\">Why Some Tennis Matches Take Forever</a>.</p>\n<p><code>serve_times.csv</code></p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>server</code></td>\n<td>Name of player serving at 2015 French Open</td>\n</tr>\n<tr>\n<td><code>seconds_before_next_point</code></td>\n<td>Time in seconds between end of marked point and next serve, timed by stopwatch app</td>\n</tr>\n<tr>\n<td><code>day</code></td>\n<td>Date</td>\n</tr>\n<tr>\n<td><code>opponent</code></td>\n<td>Opponent, receiving serve</td>\n</tr>\n<tr>\n<td><code>game_score</code></td>\n<td>Score in the current game during the timed interval between points</td>\n</tr>\n<tr>\n<td><code>set</code></td>\n<td>Set number, out of five</td>\n</tr>\n<tr>\n<td><code>game</code></td>\n<td>Score in games within the set</td>\n</tr>\n</tbody>\n</table>\n<p><code>players_time.csv</code></p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>player</code></td>\n<td>Player name</td>\n</tr>\n<tr>\n<td><code>seconds_added_per_point</code></td>\n<td>Weighted average of seconds added per point as loser and winner of matches, 1991-2015, from regression model controlling for tournament, surface, year and other factors</td>\n</tr>\n</tbody>\n</table>\n<p><code>events_time.csv</code></p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>tournament</code></td>\n<td>Name of event</td>\n</tr>\n<tr>\n<td><code>surface</code></td>\n<td>Court surface used at the event</td>\n</tr>\n<tr>\n<td><code>seconds_added_per_point</code></td>\n<td>Seconds added per point for this event on this surface in years shown, from regression model controlling for players, year and other factors</td>\n</tr>\n<tr>\n<td><code>years</code></td>\n<td>Start and end years for data used from this tournament in regression</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/tennis-time/events_time.csv",
                    "title": "Tennis Time: events_time.csv"
                },
                "tennis-time/players_time": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/why-some-tennis-matches-take-forever\">Why Some Tennis Matches Take Forever</a>.</p>\n<p><code>serve_times.csv</code></p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>server</code></td>\n<td>Name of player serving at 2015 French Open</td>\n</tr>\n<tr>\n<td><code>seconds_before_next_point</code></td>\n<td>Time in seconds between end of marked point and next serve, timed by stopwatch app</td>\n</tr>\n<tr>\n<td><code>day</code></td>\n<td>Date</td>\n</tr>\n<tr>\n<td><code>opponent</code></td>\n<td>Opponent, receiving serve</td>\n</tr>\n<tr>\n<td><code>game_score</code></td>\n<td>Score in the current game during the timed interval between points</td>\n</tr>\n<tr>\n<td><code>set</code></td>\n<td>Set number, out of five</td>\n</tr>\n<tr>\n<td><code>game</code></td>\n<td>Score in games within the set</td>\n</tr>\n</tbody>\n</table>\n<p><code>players_time.csv</code></p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>player</code></td>\n<td>Player name</td>\n</tr>\n<tr>\n<td><code>seconds_added_per_point</code></td>\n<td>Weighted average of seconds added per point as loser and winner of matches, 1991-2015, from regression model controlling for tournament, surface, year and other factors</td>\n</tr>\n</tbody>\n</table>\n<p><code>events_time.csv</code></p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>tournament</code></td>\n<td>Name of event</td>\n</tr>\n<tr>\n<td><code>surface</code></td>\n<td>Court surface used at the event</td>\n</tr>\n<tr>\n<td><code>seconds_added_per_point</code></td>\n<td>Seconds added per point for this event on this surface in years shown, from regression model controlling for players, year and other factors</td>\n</tr>\n<tr>\n<td><code>years</code></td>\n<td>Start and end years for data used from this tournament in regression</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/tennis-time/players_time.csv",
                    "title": "Tennis Time: players_time.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "tennis-time/serve_times": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/why-some-tennis-matches-take-forever\">Why Some Tennis Matches Take Forever</a>.</p>\n<p><code>serve_times.csv</code></p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>server</code></td>\n<td>Name of player serving at 2015 French Open</td>\n</tr>\n<tr>\n<td><code>seconds_before_next_point</code></td>\n<td>Time in seconds between end of marked point and next serve, timed by stopwatch app</td>\n</tr>\n<tr>\n<td><code>day</code></td>\n<td>Date</td>\n</tr>\n<tr>\n<td><code>opponent</code></td>\n<td>Opponent, receiving serve</td>\n</tr>\n<tr>\n<td><code>game_score</code></td>\n<td>Score in the current game during the timed interval between points</td>\n</tr>\n<tr>\n<td><code>set</code></td>\n<td>Set number, out of five</td>\n</tr>\n<tr>\n<td><code>game</code></td>\n<td>Score in games within the set</td>\n</tr>\n</tbody>\n</table>\n<p><code>players_time.csv</code></p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>player</code></td>\n<td>Player name</td>\n</tr>\n<tr>\n<td><code>seconds_added_per_point</code></td>\n<td>Weighted average of seconds added per point as loser and winner of matches, 1991-2015, from regression model controlling for tournament, surface, year and other factors</td>\n</tr>\n</tbody>\n</table>\n<p><code>events_time.csv</code></p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>tournament</code></td>\n<td>Name of event</td>\n</tr>\n<tr>\n<td><code>surface</code></td>\n<td>Court surface used at the event</td>\n</tr>\n<tr>\n<td><code>seconds_added_per_point</code></td>\n<td>Seconds added per point for this event on this surface in years shown, from regression model controlling for players, year and other factors</td>\n</tr>\n<tr>\n<td><code>years</code></td>\n<td>Start and end years for data used from this tournament in regression</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/tennis-time/serve_times.csv",
                    "title": "Tennis Time: serve_times.csv"
                },
                "puerto-rico-media/mediacloud_hurricanes": {
                    "description_html": "<p>This table contains data behind the stories:\n<em> <a href=\"https://fivethirtyeight.com/features/the-media-really-has-neglected-puerto-rico/\">The Media Really Has Neglected Puerto Rico</a>\n</em> <a href=\"https://fivethirtyeight.com/features/the-media-really-started-paying-attention-to-puerto-rico-when-trump-did/\">The Media Really Started Paying Attention To Puerto Rico When Trump Did</a></p>\n<h3>Online News Data</h3>\n<p>Data about Online News was collected using the <a href=\"https://mediacloud.org/\">Media Cloud</a> dashboard, an open source suite of tools for analyzing a database of online news.</p>\n<ul>\n<li><code>mediacloud_hurricanes.csv</code> contains the number of sentences per day that mention Hurricanes Harvey, Irma, Jose, and Maria in online news.</li>\n<li><code>mediacloud_states.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of sentences per day that mention Puerto Rico, Texas, and Florida in online news.</li>\n<li><code>mediacloud_trump.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of headlines that mention Puerto Rico, Texas, and Florida, as well as headlines that mention those three locations along with 'President' or 'Trump'.</li>\n<li><code>mediacloud_top_online_news.csv</code> contains a list of sources included in Media Cloud's \"U.S. Top Online News\" collection.</li>\n</ul>\n<h3>TV News Data</h3>\n<p>TV News Data was collected from the <a href=\"https://archive.org/details/tv\">Internet TV News Archive</a> using the <a href=\"https://television.gdeltproject.org/cgi-bin/iatv_ftxtsearch/iatv_ftxtsearch\">Television Explorer</a> tool. </p>\n<ul>\n<li><code>tv_hurricanes.csv</code> - contains the percent of sentences per day in TV News that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_hurricanes_by_network.csv</code> - contains the percent of sentences per day in TV News per network that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_states.csv</code> <strong>(Updated through 10/10/2017)</strong> - contains the percent of sentences per day in TV News that mention Puerto Rico, Texas, and Florida.</li>\n</ul>\n<h3>Google Search Queries</h3>\n<p>Google search data was collected using the <a href=\"https://trends.google.com/trends/\">Google Trends</a> dashboard.</p>\n<ul>\n<li><code>google_trends.csv</code> - Contains data on google trend searches for Hurricanes Harvey, Irma, Jose, and Maria.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/puerto-rico-media/mediacloud_hurricanes.csv",
                    "title": "Puerto Rico Media: mediacloud_hurricanes.csv"
                },
                "puerto-rico-media/tv_hurricanes": {
                    "description_html": "<p>This table contains data behind the stories:\n<em> <a href=\"https://fivethirtyeight.com/features/the-media-really-has-neglected-puerto-rico/\">The Media Really Has Neglected Puerto Rico</a>\n</em> <a href=\"https://fivethirtyeight.com/features/the-media-really-started-paying-attention-to-puerto-rico-when-trump-did/\">The Media Really Started Paying Attention To Puerto Rico When Trump Did</a></p>\n<h3>Online News Data</h3>\n<p>Data about Online News was collected using the <a href=\"https://mediacloud.org/\">Media Cloud</a> dashboard, an open source suite of tools for analyzing a database of online news.</p>\n<ul>\n<li><code>mediacloud_hurricanes.csv</code> contains the number of sentences per day that mention Hurricanes Harvey, Irma, Jose, and Maria in online news.</li>\n<li><code>mediacloud_states.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of sentences per day that mention Puerto Rico, Texas, and Florida in online news.</li>\n<li><code>mediacloud_trump.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of headlines that mention Puerto Rico, Texas, and Florida, as well as headlines that mention those three locations along with 'President' or 'Trump'.</li>\n<li><code>mediacloud_top_online_news.csv</code> contains a list of sources included in Media Cloud's \"U.S. Top Online News\" collection.</li>\n</ul>\n<h3>TV News Data</h3>\n<p>TV News Data was collected from the <a href=\"https://archive.org/details/tv\">Internet TV News Archive</a> using the <a href=\"https://television.gdeltproject.org/cgi-bin/iatv_ftxtsearch/iatv_ftxtsearch\">Television Explorer</a> tool. </p>\n<ul>\n<li><code>tv_hurricanes.csv</code> - contains the percent of sentences per day in TV News that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_hurricanes_by_network.csv</code> - contains the percent of sentences per day in TV News per network that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_states.csv</code> <strong>(Updated through 10/10/2017)</strong> - contains the percent of sentences per day in TV News that mention Puerto Rico, Texas, and Florida.</li>\n</ul>\n<h3>Google Search Queries</h3>\n<p>Google search data was collected using the <a href=\"https://trends.google.com/trends/\">Google Trends</a> dashboard.</p>\n<ul>\n<li><code>google_trends.csv</code> - Contains data on google trend searches for Hurricanes Harvey, Irma, Jose, and Maria.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/puerto-rico-media/tv_hurricanes.csv",
                    "title": "Puerto Rico Media: tv_hurricanes.csv"
                },
                "puerto-rico-media/google_trends": {
                    "description_html": "<p>This table contains data behind the stories:\n<em> <a href=\"https://fivethirtyeight.com/features/the-media-really-has-neglected-puerto-rico/\">The Media Really Has Neglected Puerto Rico</a>\n</em> <a href=\"https://fivethirtyeight.com/features/the-media-really-started-paying-attention-to-puerto-rico-when-trump-did/\">The Media Really Started Paying Attention To Puerto Rico When Trump Did</a></p>\n<h3>Online News Data</h3>\n<p>Data about Online News was collected using the <a href=\"https://mediacloud.org/\">Media Cloud</a> dashboard, an open source suite of tools for analyzing a database of online news.</p>\n<ul>\n<li><code>mediacloud_hurricanes.csv</code> contains the number of sentences per day that mention Hurricanes Harvey, Irma, Jose, and Maria in online news.</li>\n<li><code>mediacloud_states.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of sentences per day that mention Puerto Rico, Texas, and Florida in online news.</li>\n<li><code>mediacloud_trump.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of headlines that mention Puerto Rico, Texas, and Florida, as well as headlines that mention those three locations along with 'President' or 'Trump'.</li>\n<li><code>mediacloud_top_online_news.csv</code> contains a list of sources included in Media Cloud's \"U.S. Top Online News\" collection.</li>\n</ul>\n<h3>TV News Data</h3>\n<p>TV News Data was collected from the <a href=\"https://archive.org/details/tv\">Internet TV News Archive</a> using the <a href=\"https://television.gdeltproject.org/cgi-bin/iatv_ftxtsearch/iatv_ftxtsearch\">Television Explorer</a> tool. </p>\n<ul>\n<li><code>tv_hurricanes.csv</code> - contains the percent of sentences per day in TV News that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_hurricanes_by_network.csv</code> - contains the percent of sentences per day in TV News per network that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_states.csv</code> <strong>(Updated through 10/10/2017)</strong> - contains the percent of sentences per day in TV News that mention Puerto Rico, Texas, and Florida.</li>\n</ul>\n<h3>Google Search Queries</h3>\n<p>Google search data was collected using the <a href=\"https://trends.google.com/trends/\">Google Trends</a> dashboard.</p>\n<ul>\n<li><code>google_trends.csv</code> - Contains data on google trend searches for Hurricanes Harvey, Irma, Jose, and Maria.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/puerto-rico-media/google_trends.csv",
                    "title": "Puerto Rico Media: google_trends.csv"
                },
                "puerto-rico-media/tv_hurricanes_by_network": {
                    "description_html": "<p>This table contains data behind the stories:\n<em> <a href=\"https://fivethirtyeight.com/features/the-media-really-has-neglected-puerto-rico/\">The Media Really Has Neglected Puerto Rico</a>\n</em> <a href=\"https://fivethirtyeight.com/features/the-media-really-started-paying-attention-to-puerto-rico-when-trump-did/\">The Media Really Started Paying Attention To Puerto Rico When Trump Did</a></p>\n<h3>Online News Data</h3>\n<p>Data about Online News was collected using the <a href=\"https://mediacloud.org/\">Media Cloud</a> dashboard, an open source suite of tools for analyzing a database of online news.</p>\n<ul>\n<li><code>mediacloud_hurricanes.csv</code> contains the number of sentences per day that mention Hurricanes Harvey, Irma, Jose, and Maria in online news.</li>\n<li><code>mediacloud_states.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of sentences per day that mention Puerto Rico, Texas, and Florida in online news.</li>\n<li><code>mediacloud_trump.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of headlines that mention Puerto Rico, Texas, and Florida, as well as headlines that mention those three locations along with 'President' or 'Trump'.</li>\n<li><code>mediacloud_top_online_news.csv</code> contains a list of sources included in Media Cloud's \"U.S. Top Online News\" collection.</li>\n</ul>\n<h3>TV News Data</h3>\n<p>TV News Data was collected from the <a href=\"https://archive.org/details/tv\">Internet TV News Archive</a> using the <a href=\"https://television.gdeltproject.org/cgi-bin/iatv_ftxtsearch/iatv_ftxtsearch\">Television Explorer</a> tool. </p>\n<ul>\n<li><code>tv_hurricanes.csv</code> - contains the percent of sentences per day in TV News that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_hurricanes_by_network.csv</code> - contains the percent of sentences per day in TV News per network that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_states.csv</code> <strong>(Updated through 10/10/2017)</strong> - contains the percent of sentences per day in TV News that mention Puerto Rico, Texas, and Florida.</li>\n</ul>\n<h3>Google Search Queries</h3>\n<p>Google search data was collected using the <a href=\"https://trends.google.com/trends/\">Google Trends</a> dashboard.</p>\n<ul>\n<li><code>google_trends.csv</code> - Contains data on google trend searches for Hurricanes Harvey, Irma, Jose, and Maria.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/puerto-rico-media/tv_hurricanes_by_network.csv",
                    "title": "Puerto Rico Media: tv_hurricanes_by_network.csv"
                },
                "puerto-rico-media/mediacloud_trump": {
                    "description_html": "<p>This table contains data behind the stories:\n<em> <a href=\"https://fivethirtyeight.com/features/the-media-really-has-neglected-puerto-rico/\">The Media Really Has Neglected Puerto Rico</a>\n</em> <a href=\"https://fivethirtyeight.com/features/the-media-really-started-paying-attention-to-puerto-rico-when-trump-did/\">The Media Really Started Paying Attention To Puerto Rico When Trump Did</a></p>\n<h3>Online News Data</h3>\n<p>Data about Online News was collected using the <a href=\"https://mediacloud.org/\">Media Cloud</a> dashboard, an open source suite of tools for analyzing a database of online news.</p>\n<ul>\n<li><code>mediacloud_hurricanes.csv</code> contains the number of sentences per day that mention Hurricanes Harvey, Irma, Jose, and Maria in online news.</li>\n<li><code>mediacloud_states.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of sentences per day that mention Puerto Rico, Texas, and Florida in online news.</li>\n<li><code>mediacloud_trump.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of headlines that mention Puerto Rico, Texas, and Florida, as well as headlines that mention those three locations along with 'President' or 'Trump'.</li>\n<li><code>mediacloud_top_online_news.csv</code> contains a list of sources included in Media Cloud's \"U.S. Top Online News\" collection.</li>\n</ul>\n<h3>TV News Data</h3>\n<p>TV News Data was collected from the <a href=\"https://archive.org/details/tv\">Internet TV News Archive</a> using the <a href=\"https://television.gdeltproject.org/cgi-bin/iatv_ftxtsearch/iatv_ftxtsearch\">Television Explorer</a> tool. </p>\n<ul>\n<li><code>tv_hurricanes.csv</code> - contains the percent of sentences per day in TV News that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_hurricanes_by_network.csv</code> - contains the percent of sentences per day in TV News per network that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_states.csv</code> <strong>(Updated through 10/10/2017)</strong> - contains the percent of sentences per day in TV News that mention Puerto Rico, Texas, and Florida.</li>\n</ul>\n<h3>Google Search Queries</h3>\n<p>Google search data was collected using the <a href=\"https://trends.google.com/trends/\">Google Trends</a> dashboard.</p>\n<ul>\n<li><code>google_trends.csv</code> - Contains data on google trend searches for Hurricanes Harvey, Irma, Jose, and Maria.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/puerto-rico-media/mediacloud_trump.csv",
                    "title": "Puerto Rico Media: mediacloud_trump.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "puerto-rico-media/tv_states": {
                    "description_html": "<p>This table contains data behind the stories:\n<em> <a href=\"https://fivethirtyeight.com/features/the-media-really-has-neglected-puerto-rico/\">The Media Really Has Neglected Puerto Rico</a>\n</em> <a href=\"https://fivethirtyeight.com/features/the-media-really-started-paying-attention-to-puerto-rico-when-trump-did/\">The Media Really Started Paying Attention To Puerto Rico When Trump Did</a></p>\n<h3>Online News Data</h3>\n<p>Data about Online News was collected using the <a href=\"https://mediacloud.org/\">Media Cloud</a> dashboard, an open source suite of tools for analyzing a database of online news.</p>\n<ul>\n<li><code>mediacloud_hurricanes.csv</code> contains the number of sentences per day that mention Hurricanes Harvey, Irma, Jose, and Maria in online news.</li>\n<li><code>mediacloud_states.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of sentences per day that mention Puerto Rico, Texas, and Florida in online news.</li>\n<li><code>mediacloud_trump.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of headlines that mention Puerto Rico, Texas, and Florida, as well as headlines that mention those three locations along with 'President' or 'Trump'.</li>\n<li><code>mediacloud_top_online_news.csv</code> contains a list of sources included in Media Cloud's \"U.S. Top Online News\" collection.</li>\n</ul>\n<h3>TV News Data</h3>\n<p>TV News Data was collected from the <a href=\"https://archive.org/details/tv\">Internet TV News Archive</a> using the <a href=\"https://television.gdeltproject.org/cgi-bin/iatv_ftxtsearch/iatv_ftxtsearch\">Television Explorer</a> tool. </p>\n<ul>\n<li><code>tv_hurricanes.csv</code> - contains the percent of sentences per day in TV News that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_hurricanes_by_network.csv</code> - contains the percent of sentences per day in TV News per network that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_states.csv</code> <strong>(Updated through 10/10/2017)</strong> - contains the percent of sentences per day in TV News that mention Puerto Rico, Texas, and Florida.</li>\n</ul>\n<h3>Google Search Queries</h3>\n<p>Google search data was collected using the <a href=\"https://trends.google.com/trends/\">Google Trends</a> dashboard.</p>\n<ul>\n<li><code>google_trends.csv</code> - Contains data on google trend searches for Hurricanes Harvey, Irma, Jose, and Maria.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/puerto-rico-media/tv_states.csv",
                    "title": "Puerto Rico Media: tv_states.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "puerto-rico-media/mediacloud_top_online_news": {
                    "description_html": "<p>This table contains data behind the stories:\n<em> <a href=\"https://fivethirtyeight.com/features/the-media-really-has-neglected-puerto-rico/\">The Media Really Has Neglected Puerto Rico</a>\n</em> <a href=\"https://fivethirtyeight.com/features/the-media-really-started-paying-attention-to-puerto-rico-when-trump-did/\">The Media Really Started Paying Attention To Puerto Rico When Trump Did</a></p>\n<h3>Online News Data</h3>\n<p>Data about Online News was collected using the <a href=\"https://mediacloud.org/\">Media Cloud</a> dashboard, an open source suite of tools for analyzing a database of online news.</p>\n<ul>\n<li><code>mediacloud_hurricanes.csv</code> contains the number of sentences per day that mention Hurricanes Harvey, Irma, Jose, and Maria in online news.</li>\n<li><code>mediacloud_states.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of sentences per day that mention Puerto Rico, Texas, and Florida in online news.</li>\n<li><code>mediacloud_trump.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of headlines that mention Puerto Rico, Texas, and Florida, as well as headlines that mention those three locations along with 'President' or 'Trump'.</li>\n<li><code>mediacloud_top_online_news.csv</code> contains a list of sources included in Media Cloud's \"U.S. Top Online News\" collection.</li>\n</ul>\n<h3>TV News Data</h3>\n<p>TV News Data was collected from the <a href=\"https://archive.org/details/tv\">Internet TV News Archive</a> using the <a href=\"https://television.gdeltproject.org/cgi-bin/iatv_ftxtsearch/iatv_ftxtsearch\">Television Explorer</a> tool. </p>\n<ul>\n<li><code>tv_hurricanes.csv</code> - contains the percent of sentences per day in TV News that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_hurricanes_by_network.csv</code> - contains the percent of sentences per day in TV News per network that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_states.csv</code> <strong>(Updated through 10/10/2017)</strong> - contains the percent of sentences per day in TV News that mention Puerto Rico, Texas, and Florida.</li>\n</ul>\n<h3>Google Search Queries</h3>\n<p>Google search data was collected using the <a href=\"https://trends.google.com/trends/\">Google Trends</a> dashboard.</p>\n<ul>\n<li><code>google_trends.csv</code> - Contains data on google trend searches for Hurricanes Harvey, Irma, Jose, and Maria.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/puerto-rico-media/mediacloud_top_online_news.csv",
                    "title": "Puerto Rico Media: mediacloud_top_online_news.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "puerto-rico-media/mediacloud_states": {
                    "description_html": "<p>This table contains data behind the stories:\n<em> <a href=\"https://fivethirtyeight.com/features/the-media-really-has-neglected-puerto-rico/\">The Media Really Has Neglected Puerto Rico</a>\n</em> <a href=\"https://fivethirtyeight.com/features/the-media-really-started-paying-attention-to-puerto-rico-when-trump-did/\">The Media Really Started Paying Attention To Puerto Rico When Trump Did</a></p>\n<h3>Online News Data</h3>\n<p>Data about Online News was collected using the <a href=\"https://mediacloud.org/\">Media Cloud</a> dashboard, an open source suite of tools for analyzing a database of online news.</p>\n<ul>\n<li><code>mediacloud_hurricanes.csv</code> contains the number of sentences per day that mention Hurricanes Harvey, Irma, Jose, and Maria in online news.</li>\n<li><code>mediacloud_states.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of sentences per day that mention Puerto Rico, Texas, and Florida in online news.</li>\n<li><code>mediacloud_trump.csv</code> <strong>(Updated through 10/10/2017)</strong> contains the number of headlines that mention Puerto Rico, Texas, and Florida, as well as headlines that mention those three locations along with 'President' or 'Trump'.</li>\n<li><code>mediacloud_top_online_news.csv</code> contains a list of sources included in Media Cloud's \"U.S. Top Online News\" collection.</li>\n</ul>\n<h3>TV News Data</h3>\n<p>TV News Data was collected from the <a href=\"https://archive.org/details/tv\">Internet TV News Archive</a> using the <a href=\"https://television.gdeltproject.org/cgi-bin/iatv_ftxtsearch/iatv_ftxtsearch\">Television Explorer</a> tool. </p>\n<ul>\n<li><code>tv_hurricanes.csv</code> - contains the percent of sentences per day in TV News that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_hurricanes_by_network.csv</code> - contains the percent of sentences per day in TV News per network that mention Hurricanes Harvey, Irma, Jose, and Maria.</li>\n<li><code>tv_states.csv</code> <strong>(Updated through 10/10/2017)</strong> - contains the percent of sentences per day in TV News that mention Puerto Rico, Texas, and Florida.</li>\n</ul>\n<h3>Google Search Queries</h3>\n<p>Google search data was collected using the <a href=\"https://trends.google.com/trends/\">Google Trends</a> dashboard.</p>\n<ul>\n<li><code>google_trends.csv</code> - Contains data on google trend searches for Hurricanes Harvey, Irma, Jose, and Maria.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/puerto-rico-media/mediacloud_states.csv",
                    "title": "Puerto Rico Media: mediacloud_states.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "next-bechdel/nextBechdel_crewGender": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://projects.fivethirtyeight.com/next-bechdel/\">The Next Bechdel Test</a>.</p>\n<p><code>nextBechal_allTests.csv</code> and shows the high-level breakdown of which movies passed and failed\n    - Each row is one of the 50 top-grossing movies from 2016.\n    - Each column is one of the tests. A <code>0</code> means the movie failed that test, a <code>1</code> means it passed.</p>\n<p><code>nextBechal_castGender.csv</code> contains the estimated gender for the entire cast for every movie, including whether a role was supporting or main. Data was obtained from <a href=\"http://the-numbers.com\">The Numbers</a>.</p>\n<table>\n<thead>\n<tr>\n<th>Variable</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>MOVIE</code></td>\n<td>Title of the film</td>\n</tr>\n<tr>\n<td><code>ACTOR</code></td>\n<td>Full name of the actor</td>\n</tr>\n<tr>\n<td><code>CHARACTER</code></td>\n<td>All characters played by the actor in that movie</td>\n</tr>\n<tr>\n<td><code>TYPE</code></td>\n<td>Leading, Supporting, Cameo or Lead Ensemble Member</td>\n</tr>\n<tr>\n<td><code>BILLING</code></td>\n<td>Billing number</td>\n</tr>\n<tr>\n<td><code>GENDER</code></td>\n<td>Estimated gender of the actor</td>\n</tr>\n</tbody>\n</table>\n<p><code>nextBechal_crewGender.csv</code> contains data for the crew for every movie, by probablity that a give first name is male.</p>\n<table>\n<thead>\n<tr>\n<th>Variable</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>MOVIE</code></td>\n<td>Title of the film</td>\n</tr>\n<tr>\n<td><code>DEPARTMENT</code></td>\n<td>Full name of the actor</td>\n</tr>\n<tr>\n<td><code>FULL_NAME</code></td>\n<td>Actor's first and last name</td>\n</tr>\n<tr>\n<td><code>FIRST_NAME</code></td>\n<td>Just first name of actor</td>\n</tr>\n<tr>\n<td><code>IMDB</code></td>\n<td>Actor's IMDB page</td>\n</tr>\n<tr>\n<td><code>GENDER_PROB</code></td>\n<td>Percent chance that a given name is male</td>\n</tr>\n<tr>\n<td><code>GENDER_GUESS</code></td>\n<td>Based on the probablity, guess if the name is male or female</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/next-bechdel/nextBechdel_crewGender.csv",
                    "title": "The Next Bechdel Test: nextBechdel_crewGender.csv"
                },
                "next-bechdel/nextBechdel_castGender": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://projects.fivethirtyeight.com/next-bechdel/\">The Next Bechdel Test</a>.</p>\n<p><code>nextBechal_allTests.csv</code> and shows the high-level breakdown of which movies passed and failed\n    - Each row is one of the 50 top-grossing movies from 2016.\n    - Each column is one of the tests. A <code>0</code> means the movie failed that test, a <code>1</code> means it passed.</p>\n<p><code>nextBechal_castGender.csv</code> contains the estimated gender for the entire cast for every movie, including whether a role was supporting or main. Data was obtained from <a href=\"http://the-numbers.com\">The Numbers</a>.</p>\n<table>\n<thead>\n<tr>\n<th>Variable</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>MOVIE</code></td>\n<td>Title of the film</td>\n</tr>\n<tr>\n<td><code>ACTOR</code></td>\n<td>Full name of the actor</td>\n</tr>\n<tr>\n<td><code>CHARACTER</code></td>\n<td>All characters played by the actor in that movie</td>\n</tr>\n<tr>\n<td><code>TYPE</code></td>\n<td>Leading, Supporting, Cameo or Lead Ensemble Member</td>\n</tr>\n<tr>\n<td><code>BILLING</code></td>\n<td>Billing number</td>\n</tr>\n<tr>\n<td><code>GENDER</code></td>\n<td>Estimated gender of the actor</td>\n</tr>\n</tbody>\n</table>\n<p><code>nextBechal_crewGender.csv</code> contains data for the crew for every movie, by probablity that a give first name is male.</p>\n<table>\n<thead>\n<tr>\n<th>Variable</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>MOVIE</code></td>\n<td>Title of the film</td>\n</tr>\n<tr>\n<td><code>DEPARTMENT</code></td>\n<td>Full name of the actor</td>\n</tr>\n<tr>\n<td><code>FULL_NAME</code></td>\n<td>Actor's first and last name</td>\n</tr>\n<tr>\n<td><code>FIRST_NAME</code></td>\n<td>Just first name of actor</td>\n</tr>\n<tr>\n<td><code>IMDB</code></td>\n<td>Actor's IMDB page</td>\n</tr>\n<tr>\n<td><code>GENDER_PROB</code></td>\n<td>Percent chance that a given name is male</td>\n</tr>\n<tr>\n<td><code>GENDER_GUESS</code></td>\n<td>Based on the probablity, guess if the name is male or female</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/next-bechdel/nextBechdel_castGender.csv",
                    "title": "The Next Bechdel Test: nextBechdel_castGender.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "next-bechdel/nextBechdel_allTests": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://projects.fivethirtyeight.com/next-bechdel/\">The Next Bechdel Test</a>.</p>\n<p><code>nextBechal_allTests.csv</code> and shows the high-level breakdown of which movies passed and failed\n    - Each row is one of the 50 top-grossing movies from 2016.\n    - Each column is one of the tests. A <code>0</code> means the movie failed that test, a <code>1</code> means it passed.</p>\n<p><code>nextBechal_castGender.csv</code> contains the estimated gender for the entire cast for every movie, including whether a role was supporting or main. Data was obtained from <a href=\"http://the-numbers.com\">The Numbers</a>.</p>\n<table>\n<thead>\n<tr>\n<th>Variable</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>MOVIE</code></td>\n<td>Title of the film</td>\n</tr>\n<tr>\n<td><code>ACTOR</code></td>\n<td>Full name of the actor</td>\n</tr>\n<tr>\n<td><code>CHARACTER</code></td>\n<td>All characters played by the actor in that movie</td>\n</tr>\n<tr>\n<td><code>TYPE</code></td>\n<td>Leading, Supporting, Cameo or Lead Ensemble Member</td>\n</tr>\n<tr>\n<td><code>BILLING</code></td>\n<td>Billing number</td>\n</tr>\n<tr>\n<td><code>GENDER</code></td>\n<td>Estimated gender of the actor</td>\n</tr>\n</tbody>\n</table>\n<p><code>nextBechal_crewGender.csv</code> contains data for the crew for every movie, by probablity that a give first name is male.</p>\n<table>\n<thead>\n<tr>\n<th>Variable</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>MOVIE</code></td>\n<td>Title of the film</td>\n</tr>\n<tr>\n<td><code>DEPARTMENT</code></td>\n<td>Full name of the actor</td>\n</tr>\n<tr>\n<td><code>FULL_NAME</code></td>\n<td>Actor's first and last name</td>\n</tr>\n<tr>\n<td><code>FIRST_NAME</code></td>\n<td>Just first name of actor</td>\n</tr>\n<tr>\n<td><code>IMDB</code></td>\n<td>Actor's IMDB page</td>\n</tr>\n<tr>\n<td><code>GENDER_PROB</code></td>\n<td>Percent chance that a given name is male</td>\n</tr>\n<tr>\n<td><code>GENDER_GUESS</code></td>\n<td>Based on the probablity, guess if the name is male or female</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/next-bechdel/nextBechdel_allTests.csv",
                    "title": "The Next Bechdel Test: nextBechdel_allTests.csv"
                },
                "bachelorette/bachelorette": {
                    "description_html": "<p>This table contains the data behind the stories:</p>\n<ul>\n<li><a href=\"https://fivethirtyeight.com/features/the-bachelorette/\">How To Spot A Front-Runner On The \u2018Bachelor\u2019 Or \u2018Bachelorette\u2019</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/rachels-season-is-fitting-neatly-into-bachelorette-history/\">Rachel\u2019s Season Is Fitting Neatly Into \u2018Bachelorette\u2019 History</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/rachel-lindsays-bachelorette-season-in-three-charts/\">Rachel Lindsay\u2019s \u2018Bachelorette\u2019 Season, In Three Charts</a></li>\n</ul>\n<p>Data was scraped from the <a href=\"http://bachelor-nation.wikia.com/wiki/Bachelor_Nation_Wikia\">Bachelor Nation Wiki</a> and then missing seasons were filled in by ABC and FiveThirtyEight staffers.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>SHOW</code></td>\n<td>Bachelor or Bachelorette</td>\n</tr>\n<tr>\n<td><code>SEASON</code></td>\n<td>Which season</td>\n</tr>\n<tr>\n<td><code>CONTESTANT</code></td>\n<td>An identifier for the contestant in a given season</td>\n</tr>\n<tr>\n<td><code>ELIMINATION-1</code></td>\n<td>Who was eliminated in week 1</td>\n</tr>\n<tr>\n<td><code>ELIMINATION-2</code></td>\n<td>Who was eliminated in week 2</td>\n</tr>\n<tr>\n<td><code>ELIMINATION-3</code></td>\n<td>Who was eliminated in week 3</td>\n</tr>\n<tr>\n<td><code>ELIMINATION-4</code></td>\n<td>Who was eliminated in week 4</td>\n</tr>\n<tr>\n<td><code>ELIMINATION-5</code></td>\n<td>Who was eliminated in week 5</td>\n</tr>\n<tr>\n<td><code>ELIMINATION-6</code></td>\n<td>Who was eliminated in week 6</td>\n</tr>\n<tr>\n<td><code>ELIMINATION-7</code></td>\n<td>Who was eliminated in week 7</td>\n</tr>\n<tr>\n<td><code>ELIMINATION-8</code></td>\n<td>Who was eliminated in week 8</td>\n</tr>\n<tr>\n<td><code>ELIMINATION-9</code></td>\n<td>Who was eliminated in week 9</td>\n</tr>\n<tr>\n<td><code>ELIMINATION-10</code></td>\n<td>Who was eliminated in week 10</td>\n</tr>\n<tr>\n<td><code>DATES-1</code></td>\n<td>Who was on which date in week 1</td>\n</tr>\n<tr>\n<td><code>DATES-2</code></td>\n<td>Who was on which date in week 2</td>\n</tr>\n<tr>\n<td><code>DATES-3</code></td>\n<td>Who was on which date in week 3</td>\n</tr>\n<tr>\n<td><code>DATES-4</code></td>\n<td>Who was on which date in week 4</td>\n</tr>\n<tr>\n<td><code>DATES-5</code></td>\n<td>Who was on which date in week 5</td>\n</tr>\n<tr>\n<td><code>DATES-6</code></td>\n<td>Who was on which date in week 6</td>\n</tr>\n<tr>\n<td><code>DATES-7</code></td>\n<td>Who was on which date in week 7</td>\n</tr>\n<tr>\n<td><code>DATES-8</code></td>\n<td>Who was on which date in week 8</td>\n</tr>\n<tr>\n<td><code>DATES-9</code></td>\n<td>Who was on which date in week 9</td>\n</tr>\n<tr>\n<td><code>DATES-10</code></td>\n<td>Who was on which date in week 10</td>\n</tr>\n</tbody>\n</table>\n<ul>\n<li>Eliminates connote either an elimination (starts with \"E\") or a rose (starts with \"R\").</li>\n<li>Eliminations supercede roses.</li>\n<li>\"E\" connotes a standard elimination, typically at a rose ceremony. \"EQ\" means the contestant quits. \"EF\" means the contestant was fired by production. \"ED\" connotes a date elimination. \"EU\" connotes an unscheduled elimination, one that takes place at a time outside of a date or rose ceremony.</li>\n<li>\"R\" means the contestant received a rose. \"R1\" means the contestant got a first impression rose.</li>\n<li>\"D1\" means a one-on-one date, \"D2\" means a 2-on-1, \"D3\" means a 3-on-1 group date, and so on.</li>\n<li>Weeks of the show are deliminated by rose ceremonies, and may not line up exactly with episodes.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/bachelorette/bachelorette.csv",
                    "title": "Bachelorette / Bachelor: bachelorette.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "hip-hop-candidate-lyrics/genius_hip_hop_lyrics": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://projects.fivethirtyeight.com/clinton-trump-hip-hop-lyrics/\"> Hip-Hop Is Turning On Donald Trump</a>.</p>\n<p><code>genius_hip_hop_lyrics.csv</code> contains every mention of the 2016 primary candidates in hip-hop songs.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>candidate</code></td>\n<td>Candidate referenced</td>\n</tr>\n<tr>\n<td><code>song</code></td>\n<td>Song name</td>\n</tr>\n<tr>\n<td><code>artist</code></td>\n<td>Artist name</td>\n</tr>\n<tr>\n<td><code>sentiment</code></td>\n<td>Positive, negative or neutral</td>\n</tr>\n<tr>\n<td><code>theme</code></td>\n<td>Theme of lyric</td>\n</tr>\n<tr>\n<td><code>album_release_date</code></td>\n<td>Date of album release</td>\n</tr>\n<tr>\n<td><code>line</code></td>\n<td>Lyrics</td>\n</tr>\n<tr>\n<td><code>url</code></td>\n<td>Genius link</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://genius.com/\">Genius</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/hip-hop-candidate-lyrics/genius_hip_hop_lyrics.csv",
                    "title": "Hip Hop Candidate Lyrics: genius_hip_hop_lyrics.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "mlb-quasi-win-shares/quasi_winshares": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/the-yankees-always-have-the-twins-number-will-this-postseason-be-different/\">The Twins\u2019 Magical Run Will Likely Go Through The Yankees. (Because Of Course.)</a></p>\n<p><code>quasi_winshares.csv</code> contains Quasi-Win Shares (QWS), prorated to 162 team games, for every player from 1901 as of Sept. 27, 2019.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>name_common</code></td>\n<td>Player name</td>\n</tr>\n<tr>\n<td><code>age</code></td>\n<td>Player's age on June 30 of season</td>\n</tr>\n<tr>\n<td><code>player_ID</code></td>\n<td>Player's Baseball-Reference.com ID</td>\n</tr>\n<tr>\n<td><code>year_ID</code></td>\n<td>Season</td>\n</tr>\n<tr>\n<td><code>team_ID</code></td>\n<td>Baseball-Reference ID of team</td>\n</tr>\n<tr>\n<td><code>lg_ID</code></td>\n<td>League of team</td>\n</tr>\n<tr>\n<td><code>pct_PT</code></td>\n<td>Share of total team playing time (measured by plate appearances and leverage-weighted innings) for player</td>\n</tr>\n<tr>\n<td><code>WAR162</code></td>\n<td>Wins Above Replacement per 162 team games, averaging B-R and FG WAR</td>\n</tr>\n<tr>\n<td><code>def_pos</code></td>\n<td>Defensive positions played, in order of innings/games. (Will not include DH or any position for players with 0 PA.)</td>\n</tr>\n<tr>\n<td><code>quasi_ws</code></td>\n<td>Quasi Win Shares. Three times total wins created per 162 games; generated by adding WAR162 to wins BELOW replacement (determined by playing time) and rounding to nearest whole number</td>\n</tr>\n<tr>\n<td><code>stint_ID</code></td>\n<td>Order of team stints for player within season</td>\n</tr>\n<tr>\n<td><code>franch_id</code></td>\n<td>Lahman DB franchise ID for team</td>\n</tr>\n<tr>\n<td><code>prev_franch</code></td>\n<td>Previous franchise played for (NULL if player debuted for team)</td>\n</tr>\n<tr>\n<td><code>year_acq</code></td>\n<td>First season for player with that franchise</td>\n</tr>\n<tr>\n<td><code>year_left</code></td>\n<td>Last season for player with that franchise</td>\n</tr>\n<tr>\n<td><code>next_franch</code></td>\n<td>Next franchise played for (NULL if player retired with or is currently on team)</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/mlb-quasi-win-shares/quasi_winshares.csv",
                    "title": "mlb-quasi-win-shares: quasi_winshares.csv"
                },
                "nfl-fandom/NFL_fandom_data-google_trends": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/how-every-nfl-teams-fans-lean-politically\">How Every NFL Team\u2019s Fans Lean Politically</a>.</p>\n<h2>Google Trends Data</h2>\n<p>Google Trends data was derived from comparing 5-year search traffic for the 7 sports leagues we analyzed:</p>\n<p>https://g.co/trends/5P8aa</p>\n<p>Results are listed by designated market area (DMA).</p>\n<p>The percentages are the approximate percentage of major-sports searches that were conducted for each league.</p>\n<p>Trump's percentage is his share of the vote within the DMA in the 2016 presidential election.</p>\n<h2>SurveyMonkey Data</h2>\n<p>SurveyMonkey data was derived from a poll of American adults ages 18 and older, conducted between Sept. 1-7, 2017.</p>\n<p>Listed numbers are the raw totals for respondents who ranked a given NFL team among their three favorites, and how many identified with a given party (further broken down by race). We also list the percentages of the entire sample that identified with each party, and were of each race.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nfl-fandom/NFL_fandom_data-google_trends.csv",
                    "title": "NFL Fandom: NFL_fandom_data-google_trends.csv"
                },
                "nfl-fandom/NFL_fandom_data-surveymonkey": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/how-every-nfl-teams-fans-lean-politically\">How Every NFL Team\u2019s Fans Lean Politically</a>.</p>\n<h2>Google Trends Data</h2>\n<p>Google Trends data was derived from comparing 5-year search traffic for the 7 sports leagues we analyzed:</p>\n<p>https://g.co/trends/5P8aa</p>\n<p>Results are listed by designated market area (DMA).</p>\n<p>The percentages are the approximate percentage of major-sports searches that were conducted for each league.</p>\n<p>Trump's percentage is his share of the vote within the DMA in the 2016 presidential election.</p>\n<h2>SurveyMonkey Data</h2>\n<p>SurveyMonkey data was derived from a poll of American adults ages 18 and older, conducted between Sept. 1-7, 2017.</p>\n<p>Listed numbers are the raw totals for respondents who ranked a given NFL team among their three favorites, and how many identified with a given party (further broken down by race). We also list the percentages of the entire sample that identified with each party, and were of each race.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nfl-fandom/NFL_fandom_data-surveymonkey.csv",
                    "title": "NFL Fandom: NFL_fandom_data-surveymonkey.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "nfl-favorite-team/team-picking-categories": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/the-rams-are-dead-to-me-so-i-answered-3352-questions-to-find-a-new-team/\">The Rams Are Dead To Me, So I Answered 3,352 Questions To Find A New NFL Team</a>.</p>\n<p><code>team-picking-categories.csv</code> contains grades for each NFL franchise in 16 categories, to be used to pick a new favorite team.</p>\n<table>\n<thead>\n<tr>\n<th>abbrev</th>\n<th>category</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>FRL</td>\n<td>Fan relations - Courtesy by players, coaches and front offices toward fans, and how well a team uses technology to reach them</td>\n</tr>\n<tr>\n<td>OWN</td>\n<td>Ownership - Honesty; loyalty to core players and the community</td>\n</tr>\n<tr>\n<td>PLA</td>\n<td>Players - Effort on the field, likability off it</td>\n</tr>\n<tr>\n<td>FUT</td>\n<td>Future wins - Projected wins over next 5 seasons</td>\n</tr>\n<tr>\n<td>BWG</td>\n<td>Bandwagon Factor - Are the team's next 5 years likely to be better than their previous 5?</td>\n</tr>\n<tr>\n<td>TRD</td>\n<td>Tradition - Championships/division titles/wins in team's entire history</td>\n</tr>\n<tr>\n<td>BNG</td>\n<td>Bang for the buck - Wins per fan dollars spent</td>\n</tr>\n<tr>\n<td>BEH</td>\n<td>Behavior - Suspensions by players on team since 2007, with extra weight to transgressions vs. women</td>\n</tr>\n<tr>\n<td>NYP</td>\n<td>Proximity to New York City</td>\n</tr>\n<tr>\n<td>SLP</td>\n<td>Proximity to St. Louis</td>\n</tr>\n<tr>\n<td>AFF</td>\n<td>Affordability - Price of tickets, parking and concessions</td>\n</tr>\n<tr>\n<td>SMK</td>\n<td>Small Market - Size of market in terms of population, where smaller is better</td>\n</tr>\n<tr>\n<td>STX</td>\n<td>Stadium experience - Quality of venue; fan-friendliness of environment; frequency of game-day promotions</td>\n</tr>\n<tr>\n<td>CCH</td>\n<td>Coaching - Strength of on-field leadership</td>\n</tr>\n<tr>\n<td>UNI</td>\n<td>Uniform - Stylishness of uniform design, according to Uni Watch's Paul Lukas</td>\n</tr>\n<tr>\n<td>BMK</td>\n<td>Big Market - Size of market in terms of population, where bigger is better</td>\n</tr>\n</tbody>\n</table>\n<p>Should be used in conjunction with weights derived from a survey structured like this: http://www.allourideas.org/nflteampickingsample.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nfl-favorite-team/team-picking-categories.csv",
                    "title": "NFL Favorite Team: team-picking-categories.csv"
                },
                "special-elections/special-elections": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/be-skeptical-of-anyone-who-tells-you-they-know-how-democrats-can-win-in-november/\">Be Skeptical Of Anyone Who Tells You They Know How Democrats Can Win In November</a>.</p>\n<p><code>special-elections.csv</code> contains data on all elections pitting at least one Democrat against at least one Republican between Jan. 20, 2017, and Mar. 27, 2018, including both state and federal special elections as well as regularly scheduled 2017 elections in New Jersey and Virginia (except for New Jersey General Assembly).</p>\n<p>For each geography (district or state) the file contains:</p>\n<ul>\n<li>Median household income.</li>\n<li>The percentage of its residents over age 25 who possess a bachelor's degree or higher.</li>\n<li>The difference between Hillary Clinton's 2016 margin and Barack Obama's 2012 margin.</li>\n<li>The improvement in the Democratic candidate's margin in the 2017 or 2018 special election over the district's normal partisan lean. (FiveThirtyEight defines \"partisan lean\" as the average difference between how a constituency voted in the past two presidential elections and how the country voted overall, with 2016 results weighted 75 percent and 2012 results weighted 25 percent.)</li>\n</ul>\n<p>Two districts in New Hampshire (Belknap HD-09 and Hillsborough HD-44) did not have Census data available. Florida House District 44 and Louisiana House District 92 were excluded. These were districts where the Democrats dropped out at the last minute but their names remained on the ballot. Iowa House District 22 and Pennsylvania House District 197 were also excluded. In both of these districts, Democrats were not on the ballot but waged write-in campaigns instead.</p>\n<p>Ballotpedia was used to compile the list of elections between Jan. 20, 2017 and March 27, 2018. Income and education data comes from the American Community Survey's five-year estimates for 2012\u20132016. Presidential results by district were collected from <a href=\"https://www.dailykos.com/stories/2013/7/9/1220127/-Daily-Kos-Elections-2012-election-results-by-congressional-and-legislative-districts\">Daily Kos Elections</a> (Florida results are from <a href=\"http://mcimaps.com/presidential-results-by-florida-senate-district-and-the-effects-of-redistricting/\">Matthew Isbell</a>).</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/special-elections/special-elections.csv",
                    "title": "Special Elections: special-elections.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "nba-elo/nbaallelo": {
                    "description_html": "<p>This directory contains the data behind the <a href=\"http://fivethirtyeight.com/interactives/the-complete-history-of-every-nba-team-by-elo\">Complete History Of The NBA</a> interactive. Data updated periodically. Game information is from <a href=\"http://www.basketball-reference.com/\">Basketball-Reference.com</a>.</p>\n<p>In the data file <code>nbaallelo.csv</code> are the following variables:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>gameorder</code></td>\n<td>Play order of game in NBA history</td>\n</tr>\n<tr>\n<td><code>game_id</code></td>\n<td>Unique ID for each game</td>\n</tr>\n<tr>\n<td><code>lg_id</code></td>\n<td>Which league the game was played in</td>\n</tr>\n<tr>\n<td><code>_iscopy</code></td>\n<td>Each row of data is tied to a single team for a single game, so _iscopy flags if this game_id has already occured for the opposing team in the same matchup</td>\n</tr>\n<tr>\n<td><code>year_id</code></td>\n<td>Season id, named based on year in which the season ended</td>\n</tr>\n<tr>\n<td><code>date_game</code></td>\n<td>Game date</td>\n</tr>\n<tr>\n<td><code>is_playoffs</code></td>\n<td>Flag for playoff games</td>\n</tr>\n<tr>\n<td><code>team_id</code></td>\n<td>Three letter code for team name, from Basketball Reference</td>\n</tr>\n<tr>\n<td><code>fran_id</code></td>\n<td>Franchise id. Multiple team_ids can fall under the same fran_id due to name changes or moves. Interactive is grouped by fran_id.</td>\n</tr>\n<tr>\n<td><code>pts</code></td>\n<td>Points scored by team</td>\n</tr>\n<tr>\n<td><code>elo_i</code></td>\n<td>Team elo entering the game</td>\n</tr>\n<tr>\n<td><code>elo_n</code></td>\n<td>Team elo following the game</td>\n</tr>\n<tr>\n<td><code>win_equiv</code></td>\n<td>Equivalent number of wins in a 82-game season for a team of elo_n quality</td>\n</tr>\n<tr>\n<td><code>opp_id</code></td>\n<td>Team id of opponent</td>\n</tr>\n<tr>\n<td><code>opp_fran</code></td>\n<td>Franchise id of opponent</td>\n</tr>\n<tr>\n<td><code>opp_pts</code></td>\n<td>Points scored by opponent</td>\n</tr>\n<tr>\n<td><code>opp_elo_i</code></td>\n<td>Opponent elo entering the game</td>\n</tr>\n<tr>\n<td><code>opp_elo_n</code></td>\n<td>Opponent elo following the game</td>\n</tr>\n<tr>\n<td><code>game_location</code></td>\n<td>Home (H), away (A), or neutral (N)</td>\n</tr>\n<tr>\n<td><code>game_result</code></td>\n<td>Win or loss for team in the team_id column</td>\n</tr>\n<tr>\n<td><code>forecast</code></td>\n<td>Elo-based chances of winning for the team in the team_id column, based on elo ratings and game location</td>\n</tr>\n<tr>\n<td><code>notes</code></td>\n<td>Additional information</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nba-elo/nbaallelo.csv",
                    "title": "Historical NBA Elo: nbaallelo.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "region-survey/MIDWEST": {
                    "description_html": "<p>This table contains data behind the stories:</p>\n<ul>\n<li><a href=\"http://fivethirtyeight.com/datalab/which-states-are-in-the-south/\">Which States Are in the South?</a></li>\n<li><a href=\"http://fivethirtyeight.com/datalab/what-states-are-in-the-midwest/\">Which States Are in the Midwest?</a></li>\n<li><a href=\"http://fivethirtyeight.com/datalab/weve-published-our-data-on-the-south-and-midwest/\">We\u2019ve Published Our Data on the South And Midwest</a></li>\n</ul>\n<p><code>SOUTH.csv</code> and <code>MIDWEST.csv</code> contain individual responses from surveys about regional identification conducted for FiveThirtyEight by SurveyMonkey.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/region-survey/MIDWEST.csv",
                    "title": "Region Survey: MIDWEST.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "region-survey/SOUTH": {
                    "description_html": "<p>This table contains data behind the stories:</p>\n<ul>\n<li><a href=\"http://fivethirtyeight.com/datalab/which-states-are-in-the-south/\">Which States Are in the South?</a></li>\n<li><a href=\"http://fivethirtyeight.com/datalab/what-states-are-in-the-midwest/\">Which States Are in the Midwest?</a></li>\n<li><a href=\"http://fivethirtyeight.com/datalab/weve-published-our-data-on-the-south-and-midwest/\">We\u2019ve Published Our Data on the South And Midwest</a></li>\n</ul>\n<p><code>SOUTH.csv</code> and <code>MIDWEST.csv</code> contain individual responses from surveys about regional identification conducted for FiveThirtyEight by SurveyMonkey.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/region-survey/SOUTH.csv",
                    "title": "Region Survey: SOUTH.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "pollster-ratings/raw-polls": {
                    "description_html": "<p>This directory contains the data behind FiveThirtyEight's pollster ratings. </p>\n<p>See also:</p>\n<ul>\n<li><a href=\"https://projects.fivethirtyeight.com/pollster-ratings/\">FiveThirtyEight's Pollster Ratings</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/the-state-of-the-polls-2019/\">The State Of The Polls, 2019</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/the-polls-are-all-right/\">The Polls Are All Right</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/the-state-of-the-polls-2016/\">The State Of The Polls, 2016</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/how-fivethirtyeight-calculates-pollster-ratings/\">How FiveThirtyEight Calculates Pollster Ratings</a></li>\n</ul>\n<p>Past data:</p>\n<ul>\n<li><a href=\"2014/\">2014</a></li>\n<li><a href=\"2016/\">2016</a></li>\n<li><a href=\"2018/\">2018</a></li>\n<li><a href=\"2019/\">2019</a></li>\n</ul>\n<p><code>pollster-stats-full.xlsx</code> contains a spreadsheet with all of the summary data and calculations involved in determining the pollster ratings as well as descriptions for each column.</p>\n<p><code>pollster-ratings.csv</code> has ratings and calculations for each pollster. A copy of this data and descriptions for each column can also be found in <code>pollster-stats-full.xlsx</code>.</p>\n<p><code>raw-polls.csv</code> contains all of the polls analyzed to give each pollster a grade. Descriptions for each column are in the table below.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>pollno</code></td>\n<td>FiveThirtyEight poll ID number</td>\n</tr>\n<tr>\n<td><code>race</code></td>\n<td>Election polled</td>\n</tr>\n<tr>\n<td><code>year</code></td>\n<td>Year of election (not year of poll)</td>\n</tr>\n<tr>\n<td><code>location</code></td>\n<td>Location (state or Congressional district, or \"US\" for national polls)</td>\n</tr>\n<tr>\n<td><code>type_simple</code></td>\n<td>Type of election (5 categories)</td>\n</tr>\n<tr>\n<td><code>type_detail</code></td>\n<td>Detailed type of election (this distinguishes between Republican and Democratic primaries, for example, whereas <code>type_simple</code> does not)</td>\n</tr>\n<tr>\n<td><code>pollster</code></td>\n<td>Pollster name</td>\n</tr>\n<tr>\n<td><code>partisan</code></td>\n<td>Flag for internal/partisan poll. \"D\" indicates Democratic poll, \"R\" indicates Republican poll, \"I\" indicates poll put out by independent candidate's campaign. Note that different sources define these categories differently and our categorization will often reflect the original source's definition. In other words, these definitions may be inconsistent and should be used carefully.</td>\n</tr>\n<tr>\n<td><code>polldate</code></td>\n<td>Median field date of the poll</td>\n</tr>\n<tr>\n<td><code>samplesize</code></td>\n<td>Sample size of the poll. Where missing, this is estimated from the poll's margin of error, or similar polls conducted by the same polling firm. A sample size of 600 is used if no better estimate is available.</td>\n</tr>\n<tr>\n<td><code>cand1_name</code></td>\n<td>Name of Candidate #1. Candidates #1 and #2 are defined as the top two finishers in the election (regardless of whether or not they were the top two candidates in the poll). In races where a Democrat and a Republican were the top two finishers, Candidate #1 is the Democrat.</td>\n</tr>\n<tr>\n<td><code>cand1_party</code></td>\n<td>Name of Candidate #1. Candidates #1 and #2 are defined as the top two finishers in the election (regardless of whether or not they were the top two candidates in the poll). In races where a Democrat and a Republican were the top two finishers, Candidate #1 is the Democrat.</td>\n</tr>\n<tr>\n<td><code>cand1_pct</code></td>\n<td>Candidate #1's share of the vote in the poll.</td>\n</tr>\n<tr>\n<td><code>cand2_name</code></td>\n<td>Name of Candidate #2. Candidates #1 and #2 are defined as the top two finishers in the election (regardless of whether or not they were the top two candidates in the poll). In races where a Democrat and a Republican were the top two finishers, Candidate #2 is the Republican.</td>\n</tr>\n<tr>\n<td><code>cand2_party</code></td>\n<td>Party of Candidate #2.</td>\n</tr>\n<tr>\n<td><code>cand2_pct</code></td>\n<td>Candidate #2's share of the vote in the poll.</td>\n</tr>\n<tr>\n<td><code>cand3_pct</code></td>\n<td>Share of the vote for the top candidate listed in the poll, other than Candidate #1 and Candidate #2.</td>\n</tr>\n<tr>\n<td><code>margin_poll</code></td>\n<td>Projected margin of victory (defeat) for Candidate #1. This is calculated as <code>cand1_pct - cand2_pct</code>. In races between a Democrat and a Republican, positive values indicate a Democratic lead; negative values a Repubican lead.</td>\n</tr>\n<tr>\n<td><code>electiondate</code></td>\n<td>Date of election</td>\n</tr>\n<tr>\n<td><code>cand1_actual</code></td>\n<td>Actual share of vote for Candidate #1</td>\n</tr>\n<tr>\n<td><code>cand2_actual</code></td>\n<td>Actual share of vote for Candidate #2</td>\n</tr>\n<tr>\n<td><code>margin_actual</code></td>\n<td>Actual margin in the election. This is calculated as <code>cand1_actual - cand2_actual</code>. In races between a Democrat and a Republican, positive values indicate a Democratic win; negative values a Republican win.</td>\n</tr>\n<tr>\n<td><code>error</code></td>\n<td>Absolute value of the difference between the actual and polled result. This is calculated as <code>abs(margin_poll - margin_actual)</code></td>\n</tr>\n<tr>\n<td><code>bias</code></td>\n<td>Statistical bias of the poll. This is calculated only for races in which the top two finishers were a Democrat and a Republican. It is calculated as <code>margin_poll - margin_actual</code>. Positive values indicate a Democratic bias (the Democrat did better in the poll than the election). Negative values indicate a Republican bias.</td>\n</tr>\n<tr>\n<td><code>rightcall</code></td>\n<td>Flag to indicate whether the pollster called the outcome correctly, i.e. whether the candidate they had listed in 1st place won the election. A 1 indicates a correct call and a 0 an incorrect call; 0.5 indicates that the pollster had two or more candidates tied for the lead and one of the tied candidates won.</td>\n</tr>\n<tr>\n<td><code>comment</code></td>\n<td>Additional information, such as alternate names for the poll.</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/pollster-ratings/raw-polls.csv",
                    "title": "FiveThirtyEight's Pollster Ratings: raw-polls.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "pollster-ratings/pollster-ratings": {
                    "description_html": "<p>This directory contains the data behind FiveThirtyEight's pollster ratings. </p>\n<p>See also:</p>\n<ul>\n<li><a href=\"https://projects.fivethirtyeight.com/pollster-ratings/\">FiveThirtyEight's Pollster Ratings</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/the-state-of-the-polls-2019/\">The State Of The Polls, 2019</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/the-polls-are-all-right/\">The Polls Are All Right</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/the-state-of-the-polls-2016/\">The State Of The Polls, 2016</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/how-fivethirtyeight-calculates-pollster-ratings/\">How FiveThirtyEight Calculates Pollster Ratings</a></li>\n</ul>\n<p>Past data:</p>\n<ul>\n<li><a href=\"2014/\">2014</a></li>\n<li><a href=\"2016/\">2016</a></li>\n<li><a href=\"2018/\">2018</a></li>\n<li><a href=\"2019/\">2019</a></li>\n</ul>\n<p><code>pollster-stats-full.xlsx</code> contains a spreadsheet with all of the summary data and calculations involved in determining the pollster ratings as well as descriptions for each column.</p>\n<p><code>pollster-ratings.csv</code> has ratings and calculations for each pollster. A copy of this data and descriptions for each column can also be found in <code>pollster-stats-full.xlsx</code>.</p>\n<p><code>raw-polls.csv</code> contains all of the polls analyzed to give each pollster a grade. Descriptions for each column are in the table below.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>pollno</code></td>\n<td>FiveThirtyEight poll ID number</td>\n</tr>\n<tr>\n<td><code>race</code></td>\n<td>Election polled</td>\n</tr>\n<tr>\n<td><code>year</code></td>\n<td>Year of election (not year of poll)</td>\n</tr>\n<tr>\n<td><code>location</code></td>\n<td>Location (state or Congressional district, or \"US\" for national polls)</td>\n</tr>\n<tr>\n<td><code>type_simple</code></td>\n<td>Type of election (5 categories)</td>\n</tr>\n<tr>\n<td><code>type_detail</code></td>\n<td>Detailed type of election (this distinguishes between Republican and Democratic primaries, for example, whereas <code>type_simple</code> does not)</td>\n</tr>\n<tr>\n<td><code>pollster</code></td>\n<td>Pollster name</td>\n</tr>\n<tr>\n<td><code>partisan</code></td>\n<td>Flag for internal/partisan poll. \"D\" indicates Democratic poll, \"R\" indicates Republican poll, \"I\" indicates poll put out by independent candidate's campaign. Note that different sources define these categories differently and our categorization will often reflect the original source's definition. In other words, these definitions may be inconsistent and should be used carefully.</td>\n</tr>\n<tr>\n<td><code>polldate</code></td>\n<td>Median field date of the poll</td>\n</tr>\n<tr>\n<td><code>samplesize</code></td>\n<td>Sample size of the poll. Where missing, this is estimated from the poll's margin of error, or similar polls conducted by the same polling firm. A sample size of 600 is used if no better estimate is available.</td>\n</tr>\n<tr>\n<td><code>cand1_name</code></td>\n<td>Name of Candidate #1. Candidates #1 and #2 are defined as the top two finishers in the election (regardless of whether or not they were the top two candidates in the poll). In races where a Democrat and a Republican were the top two finishers, Candidate #1 is the Democrat.</td>\n</tr>\n<tr>\n<td><code>cand1_party</code></td>\n<td>Name of Candidate #1. Candidates #1 and #2 are defined as the top two finishers in the election (regardless of whether or not they were the top two candidates in the poll). In races where a Democrat and a Republican were the top two finishers, Candidate #1 is the Democrat.</td>\n</tr>\n<tr>\n<td><code>cand1_pct</code></td>\n<td>Candidate #1's share of the vote in the poll.</td>\n</tr>\n<tr>\n<td><code>cand2_name</code></td>\n<td>Name of Candidate #2. Candidates #1 and #2 are defined as the top two finishers in the election (regardless of whether or not they were the top two candidates in the poll). In races where a Democrat and a Republican were the top two finishers, Candidate #2 is the Republican.</td>\n</tr>\n<tr>\n<td><code>cand2_party</code></td>\n<td>Party of Candidate #2.</td>\n</tr>\n<tr>\n<td><code>cand2_pct</code></td>\n<td>Candidate #2's share of the vote in the poll.</td>\n</tr>\n<tr>\n<td><code>cand3_pct</code></td>\n<td>Share of the vote for the top candidate listed in the poll, other than Candidate #1 and Candidate #2.</td>\n</tr>\n<tr>\n<td><code>margin_poll</code></td>\n<td>Projected margin of victory (defeat) for Candidate #1. This is calculated as <code>cand1_pct - cand2_pct</code>. In races between a Democrat and a Republican, positive values indicate a Democratic lead; negative values a Repubican lead.</td>\n</tr>\n<tr>\n<td><code>electiondate</code></td>\n<td>Date of election</td>\n</tr>\n<tr>\n<td><code>cand1_actual</code></td>\n<td>Actual share of vote for Candidate #1</td>\n</tr>\n<tr>\n<td><code>cand2_actual</code></td>\n<td>Actual share of vote for Candidate #2</td>\n</tr>\n<tr>\n<td><code>margin_actual</code></td>\n<td>Actual margin in the election. This is calculated as <code>cand1_actual - cand2_actual</code>. In races between a Democrat and a Republican, positive values indicate a Democratic win; negative values a Republican win.</td>\n</tr>\n<tr>\n<td><code>error</code></td>\n<td>Absolute value of the difference between the actual and polled result. This is calculated as <code>abs(margin_poll - margin_actual)</code></td>\n</tr>\n<tr>\n<td><code>bias</code></td>\n<td>Statistical bias of the poll. This is calculated only for races in which the top two finishers were a Democrat and a Republican. It is calculated as <code>margin_poll - margin_actual</code>. Positive values indicate a Democratic bias (the Democrat did better in the poll than the election). Negative values indicate a Republican bias.</td>\n</tr>\n<tr>\n<td><code>rightcall</code></td>\n<td>Flag to indicate whether the pollster called the outcome correctly, i.e. whether the candidate they had listed in 1st place won the election. A 1 indicates a correct call and a 0 an incorrect call; 0.5 indicates that the pollster had two or more candidates tied for the lead and one of the tied candidates won.</td>\n</tr>\n<tr>\n<td><code>comment</code></td>\n<td>Additional information, such as alternate names for the poll.</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/pollster-ratings/pollster-ratings.csv",
                    "title": "FiveThirtyEight's Pollster Ratings: pollster-ratings.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "womens-world-cup-predictions/wwc-matches-20150613-175552": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150613-175552.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150613-175552.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150627-213532": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150627-213532.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150627-213532.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "womens-world-cup-predictions/wwc-forecast-20150611-210229": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150611-210229.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150611-210229.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150612-205525": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150612-205525.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150612-205525.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150616-220036": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150616-220036.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150616-220036.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150616-190139": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150616-190139.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150616-190139.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150602-093000": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150602-093000.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150602-093000.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150612-215533": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150612-215533.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150612-215533.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "womens-world-cup-predictions/wwc-forecast-20150616-220036": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150616-220036.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150616-220036.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150609-145605": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150609-145605.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150609-145605.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150626-184421": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150626-184421.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150626-184421.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "womens-world-cup-predictions/wwc-forecast-20150621-213134": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150621-213134.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150621-213134.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150602-093000": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150602-093000.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150602-093000.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "womens-world-cup-predictions/wwc-forecast-20150627-180119": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150627-180119.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150627-180119.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150615-175745": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150615-175745.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150615-175745.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150606-200029": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150606-200029.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150606-200029.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150620-213513": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150620-213513.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150620-213513.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150621-145724": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150621-145724.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150621-145724.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "womens-world-cup-predictions/wwc-matches-20150626-212544": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150626-212544.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150626-212544.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "womens-world-cup-predictions/wwc-matches-20150617-175941": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150617-175941.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150617-175941.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150606-230045": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150606-230045.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150606-230045.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150620-213513": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150620-213513.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150620-213513.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150608-175420": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150608-175420.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150608-175420.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150606-230045": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150606-230045.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150606-230045.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150612-185329": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150612-185329.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150612-185329.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150611-232844": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150611-232844.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150611-232844.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150613-205441": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150613-205441.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150613-205441.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150701-205548": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150701-205548.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150701-205548.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150620-180614": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150620-180614.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150620-180614.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "womens-world-cup-predictions/wwc-forecast-20150615-175745": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150615-175745.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150615-175745.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150621-175918": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150621-175918.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150621-175918.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150613-175552": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150613-175552.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150613-175552.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150607-180420": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150607-180420.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150607-180420.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150627-180119": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150627-180119.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150627-180119.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150630-210243": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150630-210243.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150630-210243.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150609-175933": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150609-175933.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150609-175933.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150607-180420": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150607-180420.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150607-180420.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150608-212619": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150608-212619.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150608-212619.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150623-235546": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150623-235546.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150623-235546.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "womens-world-cup-predictions/wwc-forecast-20150611-200059": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150611-200059.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150611-200059.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150617-210614": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150617-210614.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150617-210614.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150613-145639": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150613-145639.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150613-145639.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "womens-world-cup-predictions/wwc-matches-20150609-145605": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150609-145605.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150609-145605.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150609-175933": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150609-175933.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150609-175933.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150613-205441": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150613-205441.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150613-205441.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150609-205725": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150609-205725.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150609-205725.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150612-235650": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150612-235650.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150612-235650.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150615-213540": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150615-213540.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150615-213540.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150613-145639": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150613-145639.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150613-145639.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150608-210138": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150608-210138.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150608-210138.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150616-190139": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150616-190139.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150616-190139.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "womens-world-cup-predictions/wwc-matches-20150705-205539": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150705-205539.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150705-205539.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150615-213540": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150615-213540.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150615-213540.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150611-232844": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150611-232844.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150611-232844.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "womens-world-cup-predictions/wwc-forecast-20150626-184421": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150626-184421.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150626-184421.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150611-200059": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150611-200059.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150611-200059.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150611-210229": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150611-210229.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150611-210229.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150630-210243": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150630-210243.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150630-210243.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150621-175918": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150621-175918.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150621-175918.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150701-205548": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150701-205548.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150701-205548.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150622-185345": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150622-185345.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150622-185345.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150626-212544": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150626-212544.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150626-212544.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150611-182114": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150611-182114.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150611-182114.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150623-235546": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150623-235546.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150623-235546.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150611-182114": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150611-182114.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150611-182114.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150612-185329": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150612-185329.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150612-185329.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150607-150137": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150607-150137.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150607-150137.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150608-212619": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150608-212619.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150608-212619.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150609-205725": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150609-205725.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150609-205725.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150622-185345": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150622-185345.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150622-185345.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150608-175420": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150608-175420.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150608-175420.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150620-180614": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150620-180614.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150620-180614.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150621-145724": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150621-145724.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150621-145724.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150608-210138": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150608-210138.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150608-210138.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150622-215702": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150622-215702.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150622-215702.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150622-215702": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150622-215702.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150622-215702.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150608-235509": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150608-235509.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150608-235509.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150621-213134": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150621-213134.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150621-213134.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150607-150137": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150607-150137.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150607-150137.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150612-215533": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150612-215533.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150612-215533.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "womens-world-cup-predictions/wwc-matches-20150606-200029": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150606-200029.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150606-200029.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150612-205525": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150612-205525.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150612-205525.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150612-235650": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150612-235650.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150612-235650.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150617-210614": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150617-210614.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150617-210614.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "womens-world-cup-predictions/wwc-forecast-20150705-205539": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150705-205539.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150705-205539.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150617-175941": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150617-175941.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150617-175941.csv"
                },
                "womens-world-cup-predictions/wwc-forecast-20150608-235509": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-forecast-20150608-235509.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-forecast-20150608-235509.csv"
                },
                "womens-world-cup-predictions/wwc-matches-20150627-213532": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2015 World Cup, including each team's WSPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file names. All times are in EDT.</p>\n<h4>Overall forecasts</h4>\n<p>Overall forecasts are stored in files named like <code>wwc-forecast-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>wspi</code></td>\n<td>Women's Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>wspi_offense</code></td>\n<td>Women's Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>wspi_defense</code></td>\n<td>Women's Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>group_first</code></td>\n<td>Chance of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_second</code></td>\n<td>Chance of coming in second place in the group stage</td>\n</tr>\n<tr>\n<td><code>group_third_advance</code></td>\n<td>Chance of coming in third place in the group stage and advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_third_no_advance</code></td>\n<td>Chance of coming in third place in the group stage but not advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>group_fourth</code></td>\n<td>Chance of coming in fourth place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> These probabilities are based on 20,000 simulations. A <code>win</code> probability of 0.0 doesn't necessarily mean that a team has a zero percent chance of winning the tournament -- it means that the team did not win the tournament in any of the 20,000 simulations.</p>\n<h4>Match probabilities</h4>\n<p>Individual match probabilities are stored in files named like <code>wwc-matches-YYYYMMDD-HHMMSS.csv</code>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>team1_win</code></td>\n<td>The probability that team1 will beat team2</td>\n</tr>\n<tr>\n<td><code>team2_win</code></td>\n<td>The probability that team2 will beat team1</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>The probability the game will end in a tie</td>\n</tr>\n</tbody>\n</table>\n<p>For the Women's World Cup predictions interactive, <a href=\"http://projects.fivethirtyeight.com/womens-world-cup/\">click here</a>.</p>\n<p>For an explanation of WSPI, <a href=\"http://fivethirtyeight.com/features/how-our-womens-world-cup-model-works/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/womens-world-cup-predictions/wwc-matches-20150627-213532.csv",
                    "title": "2015 Women's World Cup Tournament Predictions: wwc-matches-20150627-213532.csv"
                },
                "nba-draymond/draymond": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/a-better-way-to-evaluate-nba-defense/\">A Better Way To Evaluate NBA Defense</a>.</p>\n<p><code>draymond.csv</code> contains the DRAYMOND ratings (Defensive Rating Accounting for Yielding Minimal Openness by Nearest Defender) for every player since the 2013-14 season.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>season</code></td>\n<td>The second year of the season; for example, 2018-2019 season would be listed as 2019</td>\n</tr>\n<tr>\n<td><code>player</code></td>\n<td>Name of the player</td>\n</tr>\n<tr>\n<td><code>posessions</code></td>\n<td>Number of possessions a player played during the season</td>\n</tr>\n<tr>\n<td><code>DRAYMOND</code></td>\n<td>Defensive Rating Accounting for Yielding Minimal Openness by Nearest Defender</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nba-draymond/draymond.csv",
                    "title": "nba-draymond: draymond.csv"
                },
                "police-killings/police_killings": {
                    "description_html": "<p>This directory contains the data behind the story <a href=\"http://fivethirtyeight.com/features/where-police-have-killed-americans-in-2015\">Where Police Have Killed Americans In 2015</a>.</p>\n<p>We linked entries from the <a href=\"http://www.theguardian.com/us-news/ng-interactive/2015/jun/01/the-counted-map-us-police-killings\">Guardian's database on police killings</a> to census data from the American Community Survey. The Guardian data was downloaded on June 2, 2015. More information about its database is available <a href=\"http://www.theguardian.com/us-news/ng-interactive/2015/jun/01/about-the-counted\">here</a>.</p>\n<p>Census data was calculated at the tract level from the 2015 5-year American Community Survey using the tables <code>S0601 (demographics)</code>, <code>S1901 (tract-level income and poverty)</code>, <code>S1701 (employment and education)</code> and <code>DP03 (county-level income)</code>. Census tracts were determined by geocoding addresses to latitude/longitude using the Bing Maps and Google Maps APIs and then overlaying points onto 2014 census tracts. GEOIDs are census-standard and should be easily joinable to other ACS tables -- let us know if you find anything interesting.</p>\n<p>Field descriptions:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Description</th>\n<th>Source</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>name</code></td>\n<td>Name of deceased</td>\n<td>Guardian</td>\n</tr>\n<tr>\n<td><code>age</code></td>\n<td>Age of deceased</td>\n<td>Guardian</td>\n</tr>\n<tr>\n<td><code>gender</code></td>\n<td>Gender of deceased</td>\n<td>Guardian</td>\n</tr>\n<tr>\n<td><code>raceethnicity</code></td>\n<td>Race/ethnicity of deceased</td>\n<td>Guardian</td>\n</tr>\n<tr>\n<td><code>month</code></td>\n<td>Month of killing</td>\n<td>Guardian</td>\n</tr>\n<tr>\n<td><code>day</code></td>\n<td>Day of incident</td>\n<td>Guardian</td>\n</tr>\n<tr>\n<td><code>year</code></td>\n<td>Year of incident</td>\n<td>Guardian</td>\n</tr>\n<tr>\n<td><code>streetaddress</code></td>\n<td>Address/intersection where incident occurred</td>\n<td>Guardian</td>\n</tr>\n<tr>\n<td><code>city</code></td>\n<td>City where incident occurred</td>\n<td>Guardian</td>\n</tr>\n<tr>\n<td><code>state</code></td>\n<td>State where incident occurred</td>\n<td>Guardian</td>\n</tr>\n<tr>\n<td><code>latitude</code></td>\n<td>Latitude, geocoded from address</td>\n<td></td>\n</tr>\n<tr>\n<td><code>longitude</code></td>\n<td>Longitude, geocoded from address</td>\n<td></td>\n</tr>\n<tr>\n<td><code>state_fp</code></td>\n<td>State FIPS code</td>\n<td>Census</td>\n</tr>\n<tr>\n<td><code>county_fp</code></td>\n<td>County FIPS code</td>\n<td>Census</td>\n</tr>\n<tr>\n<td><code>tract_ce</code></td>\n<td>Tract ID code</td>\n<td>Census</td>\n</tr>\n<tr>\n<td><code>geo_id</code></td>\n<td>Combined tract ID code</td>\n<td></td>\n</tr>\n<tr>\n<td><code>county_id</code></td>\n<td>Combined county ID code</td>\n<td></td>\n</tr>\n<tr>\n<td><code>namelsad</code></td>\n<td>Tract description</td>\n<td>Census</td>\n</tr>\n<tr>\n<td><code>lawenforcementagency</code></td>\n<td>Agency involved in incident</td>\n<td>Guardian</td>\n</tr>\n<tr>\n<td><code>cause</code></td>\n<td>Cause of death</td>\n<td>Guardian</td>\n</tr>\n<tr>\n<td><code>armed</code></td>\n<td>How/whether deceased was armed</td>\n<td>Guardian</td>\n</tr>\n<tr>\n<td><code>pop</code></td>\n<td>Tract population</td>\n<td>Census</td>\n</tr>\n<tr>\n<td><code>share_white</code></td>\n<td>Share of pop that is non-Hispanic white</td>\n<td>Census</td>\n</tr>\n<tr>\n<td><code>share_bloack</code></td>\n<td>Share of pop that is black (alone, not in combination)</td>\n<td>Census</td>\n</tr>\n<tr>\n<td><code>share_hispanic</code></td>\n<td>Share of pop that is Hispanic/Latino (any race)</td>\n<td>Census</td>\n</tr>\n<tr>\n<td><code>p_income</code></td>\n<td>Tract-level median personal income</td>\n<td>Census</td>\n</tr>\n<tr>\n<td><code>h_income</code></td>\n<td>Tract-level median household income</td>\n<td>Census</td>\n</tr>\n<tr>\n<td><code>county_income</code></td>\n<td>County-level median household income</td>\n<td>Census</td>\n</tr>\n<tr>\n<td><code>comp_income</code></td>\n<td><code>h_income</code> / <code>county_income</code></td>\n<td>Calculated from Census</td>\n</tr>\n<tr>\n<td><code>county_bucket</code></td>\n<td>Household income, quintile within county</td>\n<td>Calculated from Census</td>\n</tr>\n<tr>\n<td><code>nat_bucket</code></td>\n<td>Household income, quintile nationally</td>\n<td>Calculated from Census</td>\n</tr>\n<tr>\n<td><code>pov</code></td>\n<td>Tract-level poverty rate (official)</td>\n<td>Census</td>\n</tr>\n<tr>\n<td><code>urate</code></td>\n<td>Tract-level unemployment rate</td>\n<td>Calculated from Census</td>\n</tr>\n<tr>\n<td><code>college</code></td>\n<td>Share of 25+ pop with BA or higher</td>\n<td>Calculated from Census</td>\n</tr>\n</tbody>\n</table>\n<p><b>Note regarding income calculations:</b></p>\n<p>All income fields are in inflation-adjusted 2013 dollars.</p>\n<p><code>comp_income</code> is simply tract-level median household income as a share of county-level median household income.</p>\n<p><code>county_bucket</code> provides where the tract's median household income falls in the distribution (by quintile) of all tracts in the county. (1 indicates a tract falls in the poorest 20% of tracts within the county.) Distribution is not weighted by population.</p>\n<p><code>nat_bucket</code> is the same but for all U.S. counties.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/police-killings/police_killings.csv",
                    "title": "Police Killings: police_killings.csv"
                },
                "marriage/men": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/marriage-isnt-dead-yet/\">Marriage Isn\u2019t Dead \u2014 Yet</a>.</p>\n<p>Source for all data is Decennial Census (years 1960 to 2000) and American Community Survey (years 2001-2012), via <a href=\"https://usa.ipums.org/usa/cite.shtml\">IPUMS USA</a>.</p>\n<p>Except in the divorce file, figures represent share of the relevant population that has never been married (MARST == 6 in the IPUMS data). Note that in the story, charts generally show the share that have <em>ever</em> been married, which is simply 1 - n. In the divorce file, figures are share of the relevant population that is <em>currently</em> divorced, conditional on having ever been married.</p>\n<p>Variable names are as follows. Number in variable names are age ranges, so <code>all_2534</code> is the marriage rate for everyone ages 25 to 34.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>all</code></td>\n<td>Total (or all men/women in sex-specific files)</td>\n</tr>\n<tr>\n<td><code>HS</code></td>\n<td>High school graduate or less (EDUCD &lt; 65)</td>\n</tr>\n<tr>\n<td><code>SC</code></td>\n<td>Some college (EDUCD &gt;= 65 &amp; &lt;= 100)</td>\n</tr>\n<tr>\n<td><code>BAp</code></td>\n<td>Bachelor's degree or more (EDUCD &gt; 100)</td>\n</tr>\n<tr>\n<td><code>BAo</code></td>\n<td>Bachelor's degree, no graduate degre (EDUCD &gt; 100 &amp; &lt;= 113)</td>\n</tr>\n<tr>\n<td><code>GD</code></td>\n<td>Graduate degree (EDUCD &gt; 113)</td>\n</tr>\n<tr>\n<td><code>White</code></td>\n<td>Non-Hispanic white</td>\n</tr>\n<tr>\n<td><code>Black</code></td>\n<td>Black or African-American</td>\n</tr>\n<tr>\n<td><code>Hisp</code></td>\n<td>Hispanic of any race</td>\n</tr>\n<tr>\n<td><code>NE</code></td>\n<td>New England (REGION == 11)</td>\n</tr>\n<tr>\n<td><code>MA</code></td>\n<td>Mid-Atlantic (REGION == 12)</td>\n</tr>\n<tr>\n<td><code>Midwest</code></td>\n<td>Midwest (REGION == 21-23)</td>\n</tr>\n<tr>\n<td><code>South</code></td>\n<td>South (REGION == 31-34)</td>\n</tr>\n<tr>\n<td><code>Mountain</code></td>\n<td>Mountain West (REGION == 41)</td>\n</tr>\n<tr>\n<td><code>Pacific</code></td>\n<td>Pacific (REGION == 42)</td>\n</tr>\n<tr>\n<td><code>poor</code></td>\n<td>Family income in lowest 25%</td>\n</tr>\n<tr>\n<td><code>mid</code></td>\n<td>Family income in middle 50%</td>\n</tr>\n<tr>\n<td><code>rich</code></td>\n<td>Family income in top 25%</td>\n</tr>\n<tr>\n<td><code>work</code></td>\n<td>Employed 50+ weeks prior year</td>\n</tr>\n<tr>\n<td><code>nowork</code></td>\n<td>Not employed at least 50 weeks prior year</td>\n</tr>\n<tr>\n<td><code>nokids_all</code></td>\n<td>No own children living at home</td>\n</tr>\n<tr>\n<td><code>kids_all</code></td>\n<td>At least one own child living at home</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/marriage/men.csv",
                    "title": "Marriage: men.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "marriage/divorce": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/marriage-isnt-dead-yet/\">Marriage Isn\u2019t Dead \u2014 Yet</a>.</p>\n<p>Source for all data is Decennial Census (years 1960 to 2000) and American Community Survey (years 2001-2012), via <a href=\"https://usa.ipums.org/usa/cite.shtml\">IPUMS USA</a>.</p>\n<p>Except in the divorce file, figures represent share of the relevant population that has never been married (MARST == 6 in the IPUMS data). Note that in the story, charts generally show the share that have <em>ever</em> been married, which is simply 1 - n. In the divorce file, figures are share of the relevant population that is <em>currently</em> divorced, conditional on having ever been married.</p>\n<p>Variable names are as follows. Number in variable names are age ranges, so <code>all_2534</code> is the marriage rate for everyone ages 25 to 34.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>all</code></td>\n<td>Total (or all men/women in sex-specific files)</td>\n</tr>\n<tr>\n<td><code>HS</code></td>\n<td>High school graduate or less (EDUCD &lt; 65)</td>\n</tr>\n<tr>\n<td><code>SC</code></td>\n<td>Some college (EDUCD &gt;= 65 &amp; &lt;= 100)</td>\n</tr>\n<tr>\n<td><code>BAp</code></td>\n<td>Bachelor's degree or more (EDUCD &gt; 100)</td>\n</tr>\n<tr>\n<td><code>BAo</code></td>\n<td>Bachelor's degree, no graduate degre (EDUCD &gt; 100 &amp; &lt;= 113)</td>\n</tr>\n<tr>\n<td><code>GD</code></td>\n<td>Graduate degree (EDUCD &gt; 113)</td>\n</tr>\n<tr>\n<td><code>White</code></td>\n<td>Non-Hispanic white</td>\n</tr>\n<tr>\n<td><code>Black</code></td>\n<td>Black or African-American</td>\n</tr>\n<tr>\n<td><code>Hisp</code></td>\n<td>Hispanic of any race</td>\n</tr>\n<tr>\n<td><code>NE</code></td>\n<td>New England (REGION == 11)</td>\n</tr>\n<tr>\n<td><code>MA</code></td>\n<td>Mid-Atlantic (REGION == 12)</td>\n</tr>\n<tr>\n<td><code>Midwest</code></td>\n<td>Midwest (REGION == 21-23)</td>\n</tr>\n<tr>\n<td><code>South</code></td>\n<td>South (REGION == 31-34)</td>\n</tr>\n<tr>\n<td><code>Mountain</code></td>\n<td>Mountain West (REGION == 41)</td>\n</tr>\n<tr>\n<td><code>Pacific</code></td>\n<td>Pacific (REGION == 42)</td>\n</tr>\n<tr>\n<td><code>poor</code></td>\n<td>Family income in lowest 25%</td>\n</tr>\n<tr>\n<td><code>mid</code></td>\n<td>Family income in middle 50%</td>\n</tr>\n<tr>\n<td><code>rich</code></td>\n<td>Family income in top 25%</td>\n</tr>\n<tr>\n<td><code>work</code></td>\n<td>Employed 50+ weeks prior year</td>\n</tr>\n<tr>\n<td><code>nowork</code></td>\n<td>Not employed at least 50 weeks prior year</td>\n</tr>\n<tr>\n<td><code>nokids_all</code></td>\n<td>No own children living at home</td>\n</tr>\n<tr>\n<td><code>kids_all</code></td>\n<td>At least one own child living at home</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/marriage/divorce.csv",
                    "title": "Marriage: divorce.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "marriage/both_sexes": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/marriage-isnt-dead-yet/\">Marriage Isn\u2019t Dead \u2014 Yet</a>.</p>\n<p>Source for all data is Decennial Census (years 1960 to 2000) and American Community Survey (years 2001-2012), via <a href=\"https://usa.ipums.org/usa/cite.shtml\">IPUMS USA</a>.</p>\n<p>Except in the divorce file, figures represent share of the relevant population that has never been married (MARST == 6 in the IPUMS data). Note that in the story, charts generally show the share that have <em>ever</em> been married, which is simply 1 - n. In the divorce file, figures are share of the relevant population that is <em>currently</em> divorced, conditional on having ever been married.</p>\n<p>Variable names are as follows. Number in variable names are age ranges, so <code>all_2534</code> is the marriage rate for everyone ages 25 to 34.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>all</code></td>\n<td>Total (or all men/women in sex-specific files)</td>\n</tr>\n<tr>\n<td><code>HS</code></td>\n<td>High school graduate or less (EDUCD &lt; 65)</td>\n</tr>\n<tr>\n<td><code>SC</code></td>\n<td>Some college (EDUCD &gt;= 65 &amp; &lt;= 100)</td>\n</tr>\n<tr>\n<td><code>BAp</code></td>\n<td>Bachelor's degree or more (EDUCD &gt; 100)</td>\n</tr>\n<tr>\n<td><code>BAo</code></td>\n<td>Bachelor's degree, no graduate degre (EDUCD &gt; 100 &amp; &lt;= 113)</td>\n</tr>\n<tr>\n<td><code>GD</code></td>\n<td>Graduate degree (EDUCD &gt; 113)</td>\n</tr>\n<tr>\n<td><code>White</code></td>\n<td>Non-Hispanic white</td>\n</tr>\n<tr>\n<td><code>Black</code></td>\n<td>Black or African-American</td>\n</tr>\n<tr>\n<td><code>Hisp</code></td>\n<td>Hispanic of any race</td>\n</tr>\n<tr>\n<td><code>NE</code></td>\n<td>New England (REGION == 11)</td>\n</tr>\n<tr>\n<td><code>MA</code></td>\n<td>Mid-Atlantic (REGION == 12)</td>\n</tr>\n<tr>\n<td><code>Midwest</code></td>\n<td>Midwest (REGION == 21-23)</td>\n</tr>\n<tr>\n<td><code>South</code></td>\n<td>South (REGION == 31-34)</td>\n</tr>\n<tr>\n<td><code>Mountain</code></td>\n<td>Mountain West (REGION == 41)</td>\n</tr>\n<tr>\n<td><code>Pacific</code></td>\n<td>Pacific (REGION == 42)</td>\n</tr>\n<tr>\n<td><code>poor</code></td>\n<td>Family income in lowest 25%</td>\n</tr>\n<tr>\n<td><code>mid</code></td>\n<td>Family income in middle 50%</td>\n</tr>\n<tr>\n<td><code>rich</code></td>\n<td>Family income in top 25%</td>\n</tr>\n<tr>\n<td><code>work</code></td>\n<td>Employed 50+ weeks prior year</td>\n</tr>\n<tr>\n<td><code>nowork</code></td>\n<td>Not employed at least 50 weeks prior year</td>\n</tr>\n<tr>\n<td><code>nokids_all</code></td>\n<td>No own children living at home</td>\n</tr>\n<tr>\n<td><code>kids_all</code></td>\n<td>At least one own child living at home</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/marriage/both_sexes.csv",
                    "title": "Marriage: both_sexes.csv"
                },
                "marriage/women": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/marriage-isnt-dead-yet/\">Marriage Isn\u2019t Dead \u2014 Yet</a>.</p>\n<p>Source for all data is Decennial Census (years 1960 to 2000) and American Community Survey (years 2001-2012), via <a href=\"https://usa.ipums.org/usa/cite.shtml\">IPUMS USA</a>.</p>\n<p>Except in the divorce file, figures represent share of the relevant population that has never been married (MARST == 6 in the IPUMS data). Note that in the story, charts generally show the share that have <em>ever</em> been married, which is simply 1 - n. In the divorce file, figures are share of the relevant population that is <em>currently</em> divorced, conditional on having ever been married.</p>\n<p>Variable names are as follows. Number in variable names are age ranges, so <code>all_2534</code> is the marriage rate for everyone ages 25 to 34.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>all</code></td>\n<td>Total (or all men/women in sex-specific files)</td>\n</tr>\n<tr>\n<td><code>HS</code></td>\n<td>High school graduate or less (EDUCD &lt; 65)</td>\n</tr>\n<tr>\n<td><code>SC</code></td>\n<td>Some college (EDUCD &gt;= 65 &amp; &lt;= 100)</td>\n</tr>\n<tr>\n<td><code>BAp</code></td>\n<td>Bachelor's degree or more (EDUCD &gt; 100)</td>\n</tr>\n<tr>\n<td><code>BAo</code></td>\n<td>Bachelor's degree, no graduate degre (EDUCD &gt; 100 &amp; &lt;= 113)</td>\n</tr>\n<tr>\n<td><code>GD</code></td>\n<td>Graduate degree (EDUCD &gt; 113)</td>\n</tr>\n<tr>\n<td><code>White</code></td>\n<td>Non-Hispanic white</td>\n</tr>\n<tr>\n<td><code>Black</code></td>\n<td>Black or African-American</td>\n</tr>\n<tr>\n<td><code>Hisp</code></td>\n<td>Hispanic of any race</td>\n</tr>\n<tr>\n<td><code>NE</code></td>\n<td>New England (REGION == 11)</td>\n</tr>\n<tr>\n<td><code>MA</code></td>\n<td>Mid-Atlantic (REGION == 12)</td>\n</tr>\n<tr>\n<td><code>Midwest</code></td>\n<td>Midwest (REGION == 21-23)</td>\n</tr>\n<tr>\n<td><code>South</code></td>\n<td>South (REGION == 31-34)</td>\n</tr>\n<tr>\n<td><code>Mountain</code></td>\n<td>Mountain West (REGION == 41)</td>\n</tr>\n<tr>\n<td><code>Pacific</code></td>\n<td>Pacific (REGION == 42)</td>\n</tr>\n<tr>\n<td><code>poor</code></td>\n<td>Family income in lowest 25%</td>\n</tr>\n<tr>\n<td><code>mid</code></td>\n<td>Family income in middle 50%</td>\n</tr>\n<tr>\n<td><code>rich</code></td>\n<td>Family income in top 25%</td>\n</tr>\n<tr>\n<td><code>work</code></td>\n<td>Employed 50+ weeks prior year</td>\n</tr>\n<tr>\n<td><code>nowork</code></td>\n<td>Not employed at least 50 weeks prior year</td>\n</tr>\n<tr>\n<td><code>nokids_all</code></td>\n<td>No own children living at home</td>\n</tr>\n<tr>\n<td><code>kids_all</code></td>\n<td>At least one own child living at home</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/marriage/women.csv",
                    "title": "Marriage: women.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "congress-resignations/congressional_resignations": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/more-people-are-resigning-from-congress-than-at-any-time-in-recent-history/\">We\u2019ve Never Seen Congressional Resignations Like This Before</a>.</p>\n<p><code>congressional_resignations.csv</code> contains information about the 615 members of Congress who resigned or were removed from office from March 4, 1901 (the first day of the 57th Congress) through January 15, 2018, including the resigning member\u2019s party and district, the date they resigned, the reason for their resignation and the source of the information about their resignation.</p>\n<p>The reasons are categorized as follows:</p>\n<table>\n<thead>\n<tr>\n<th>Code</th>\n<th>Category</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>X</code></td>\n<td>Unwanted sexual contact</td>\n</tr>\n<tr>\n<td><code>A</code></td>\n<td>Consensual sex scandals</td>\n</tr>\n<tr>\n<td><code>B</code></td>\n<td>Other scandals</td>\n</tr>\n<tr>\n<td><code>C</code></td>\n<td>Other office</td>\n</tr>\n<tr>\n<td><code>D</code></td>\n<td>Private sector</td>\n</tr>\n<tr>\n<td><code>E</code></td>\n<td>Health/family</td>\n</tr>\n<tr>\n<td><code>F</code></td>\n<td>Other</td>\n</tr>\n<tr>\n<td><code>G</code></td>\n<td>Left early</td>\n</tr>\n<tr>\n<td><code>H</code></td>\n<td>Military service</td>\n</tr>\n<tr>\n<td><code>I</code></td>\n<td>Election overturned</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/congress-resignations/congressional_resignations.csv",
                    "title": "Congressional Resignations: congressional_resignations.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "religion-survey/religion-survey-results": {
                    "description_html": "<p>This directory contains the data behind the story <a href=\"http://fivethirtyeight.com/features/when-does-praying-in-public-make-others-uncomfortable\">When Does Praying In Public Make Others Uncomfortable?</a></p>\n<p>Using a SurveyMonkey poll, conducted between July 29 and August 1, 2016, we asked 661 respondents <a href=\"https://espnfivethirtyeight.files.wordpress.com/2016/09/surveymonkey_82631483.pdf\">questions about public displays of religion</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/religion-survey/religion-survey-results.csv",
                    "title": "Religion Survey: religion-survey-results.csv"
                },
                "pulitzer/pulitzer-circulation-data": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/do-pulitzers-help-newspapers-keep-readers/\">Do Pulitzers Help Newspapers Keep Readers?</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/pulitzer/pulitzer-circulation-data.csv",
                    "title": "Pulitzer: pulitzer-circulation-data.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "democratic-bench/democratic-bench": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/some-democrats-who-could-step-up-if-hillary-isnt-ready-for-hillary/\">Some Democrats Who Could Step Up If Hillary Isn\u2019t Ready For Hillary</a>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>cand</code></td>\n<td>Candidate</td>\n</tr>\n<tr>\n<td><code>raised_exp</code></td>\n<td>Amount the candidate was expected to raise</td>\n</tr>\n<tr>\n<td><code>raised_act</code></td>\n<td>Amount the candidate actually raised</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/democratic-bench/democratic-bench.csv",
                    "title": "Democratic Bench: democratic-bench.csv"
                },
                "daily-show-guests/daily_show_guests": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/datalab/every-guest-jon-stewart-ever-had-on-the-daily-show/\">Every Guest Jon Stewart Ever Had On \u2018The Daily Show\u2019</a>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>YEAR</code></td>\n<td>The year the episode aired</td>\n</tr>\n<tr>\n<td><code>GoogleKnowlege_Occupation</code></td>\n<td>Their occupation or office, according to Google's Knowledge Graph or, if they're not in there, how Stewart introduced them on the program.</td>\n</tr>\n<tr>\n<td><code>Show</code></td>\n<td>Air date of episode. Not unique, as some shows had more than one guest</td>\n</tr>\n<tr>\n<td><code>Group</code></td>\n<td>A larger group designation for the occupation. For instance, us senators, us presidents, and former presidents are all under \"politicians\"</td>\n</tr>\n<tr>\n<td><code>Raw_Guest_List</code></td>\n<td>The person or list of people who appeared on the show, according to Wikipedia. The GoogleKnowlege_Occupation only refers to one of them in a given row.</td>\n</tr>\n</tbody>\n</table>\n<p>Source: Google Knowlege Graph, The Daily Show clip library, Wikipedia.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/daily-show-guests/daily_show_guests.csv",
                    "title": "Daily Show Guests: daily_show_guests.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "nfl-wide-receivers/advanced-historical": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/the-football-hall-of-fame-has-a-receiver-problem/\">The Football Hall Of Fame Has A Receiver Problem</a>.</p>\n<p><code>advanced-historical.csv</code> contains advanced career stats for NFL receivers, 1932-2013.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>pfr_player_id</code></td>\n<td>Player identification code at Pro-Football-Reference.com</td>\n</tr>\n<tr>\n<td><code>player_name</code></td>\n<td>The player's name</td>\n</tr>\n<tr>\n<td><code>career_try</code></td>\n<td>Career True Receiving Yards</td>\n</tr>\n<tr>\n<td><code>career_ranypa</code></td>\n<td>Adjusted Net Yards Per Attempt (relative to average) of player's career teams, weighted by TRY w/ each team</td>\n</tr>\n<tr>\n<td><code>career_wowy</code></td>\n<td>The amount by which career_ranypa exceeds what would be expected from his QBs' (age-adjusted) performance without the receiver</td>\n</tr>\n<tr>\n<td><code>bcs_rating</code></td>\n<td>The number of yards per game by which a player would outgain an average receiver on the same team, after adjusting for teammate quality and age (update of http://www.sabernomics.com/sabernomics/index.php/2005/02/ranking-the-all-time-great-wide-receivers/)</td>\n</tr>\n</tbody>\n</table>\n<p><code>try-per-game-aging-curve.csv</code> contains receiver aging curve definitions.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>age_from</code></td>\n<td>The age (as of December 31st) the player is moving from</td>\n</tr>\n<tr>\n<td><code>age_to</code></td>\n<td>The age (as of December 31st) the player is moving to</td>\n</tr>\n<tr>\n<td><code>trypg_change</code></td>\n<td>Expected change in TRY/game from one age-season to the next</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nfl-wide-receivers/advanced-historical.csv",
                    "title": "NFL Wide Receivers: advanced-historical.csv"
                },
                "nfl-wide-receivers/try-per-game-aging-curve": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/the-football-hall-of-fame-has-a-receiver-problem/\">The Football Hall Of Fame Has A Receiver Problem</a>.</p>\n<p><code>advanced-historical.csv</code> contains advanced career stats for NFL receivers, 1932-2013.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>pfr_player_id</code></td>\n<td>Player identification code at Pro-Football-Reference.com</td>\n</tr>\n<tr>\n<td><code>player_name</code></td>\n<td>The player's name</td>\n</tr>\n<tr>\n<td><code>career_try</code></td>\n<td>Career True Receiving Yards</td>\n</tr>\n<tr>\n<td><code>career_ranypa</code></td>\n<td>Adjusted Net Yards Per Attempt (relative to average) of player's career teams, weighted by TRY w/ each team</td>\n</tr>\n<tr>\n<td><code>career_wowy</code></td>\n<td>The amount by which career_ranypa exceeds what would be expected from his QBs' (age-adjusted) performance without the receiver</td>\n</tr>\n<tr>\n<td><code>bcs_rating</code></td>\n<td>The number of yards per game by which a player would outgain an average receiver on the same team, after adjusting for teammate quality and age (update of http://www.sabernomics.com/sabernomics/index.php/2005/02/ranking-the-all-time-great-wide-receivers/)</td>\n</tr>\n</tbody>\n</table>\n<p><code>try-per-game-aging-curve.csv</code> contains receiver aging curve definitions.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>age_from</code></td>\n<td>The age (as of December 31st) the player is moving from</td>\n</tr>\n<tr>\n<td><code>age_to</code></td>\n<td>The age (as of December 31st) the player is moving to</td>\n</tr>\n<tr>\n<td><code>trypg_change</code></td>\n<td>Expected change in TRY/game from one age-season to the next</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nfl-wide-receivers/try-per-game-aging-curve.csv",
                    "title": "NFL Wide Receivers: try-per-game-aging-curve.csv"
                },
                "bad-drivers/bad-drivers": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/datalab/which-state-has-the-worst-drivers/\">Dear Mona, Which State Has The Worst Drivers?</a></p>\n<table>\n<thead>\n<tr>\n<th>Variable</th>\n<th>Source</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>State</code></td>\n<td>N/A</td>\n</tr>\n<tr>\n<td><code>Number of drivers involved in fatal collisions per billion miles</code></td>\n<td>National Highway Traffic Safety Administration, 2012</td>\n</tr>\n<tr>\n<td><code>Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding</code></td>\n<td>National Highway Traffic Safety Administration, 2009</td>\n</tr>\n<tr>\n<td><code>Percentage Of Drivers Involved In Fatal Collisions Who Were Alcohol-Impaired</code></td>\n<td>National Highway Traffic Safety Administration, 2012</td>\n</tr>\n<tr>\n<td><code>Percentage Of Drivers Involved In Fatal Collisions Who Were Not Distracted</code></td>\n<td>National Highway Traffic Safety Administration, 2012</td>\n</tr>\n<tr>\n<td><code>Percentage Of Drivers Involved In Fatal Collisions Who Had Not Been Involved In Any Previous Accidents</code></td>\n<td>National Highway Traffic Safety Administration, 2012</td>\n</tr>\n<tr>\n<td><code>Car Insurance Premiums ($)</code></td>\n<td>National Association of Insurance Commissioners, 2011</td>\n</tr>\n<tr>\n<td><code>Losses incurred by insurance companies for collisions per insured driver ($)</code></td>\n<td>National Association of Insurance Commissioners, 2010</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/bad-drivers/bad-drivers.csv",
                    "title": "Bad Drivers: bad-drivers.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "presidential-campaign-trail/trump": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/the-last-10-weeks-of-2016-campaign-stops-in-one-handy-gif/\">The Last 10 Weeks Of 2016 Campaign Stops In One Handy Gif</a>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>The date of the event</td>\n</tr>\n<tr>\n<td><code>location</code></td>\n<td>The location of the event</td>\n</tr>\n<tr>\n<td><code>lat</code></td>\n<td>Latitude of the event location</td>\n</tr>\n<tr>\n<td><code>lng</code></td>\n<td>Longitude of the event location</td>\n</tr>\n</tbody>\n</table>\n<p>Sources:\n<em> <a href=\"https://hillaryspeeches.com/\">hillaryspeeches.com</a>\n</em> <a href=\"http://www.conservativedailynews.com/\">conservativedailynews.com</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/presidential-campaign-trail/trump.csv",
                    "title": "Presidential Campaign Trail: trump.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "presidential-campaign-trail/clinton": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/the-last-10-weeks-of-2016-campaign-stops-in-one-handy-gif/\">The Last 10 Weeks Of 2016 Campaign Stops In One Handy Gif</a>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>date</code></td>\n<td>The date of the event</td>\n</tr>\n<tr>\n<td><code>location</code></td>\n<td>The location of the event</td>\n</tr>\n<tr>\n<td><code>lat</code></td>\n<td>Latitude of the event location</td>\n</tr>\n<tr>\n<td><code>lng</code></td>\n<td>Longitude of the event location</td>\n</tr>\n</tbody>\n</table>\n<p>Sources:\n<em> <a href=\"https://hillaryspeeches.com/\">hillaryspeeches.com</a>\n</em> <a href=\"http://www.conservativedailynews.com/\">conservativedailynews.com</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/presidential-campaign-trail/clinton.csv",
                    "title": "Presidential Campaign Trail: clinton.csv"
                },
                "librarians/librarians-by-msa": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/where-are-americas-librarians/\">Where Are America\u2019s Librarians?</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/librarians/librarians-by-msa.csv",
                    "title": "Librarians: librarians-by-msa.csv"
                },
                "nfl-suspensions/nfl-suspensions-data": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/nfl-domestic-violence-policy-suspensions/\">The NFL\u2019s Uneven History Of Punishing Domestic Violence</a>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>name</code></td>\n<td>first initial.last name</td>\n</tr>\n<tr>\n<td><code>team</code></td>\n<td>team at time of suspension</td>\n</tr>\n<tr>\n<td><code>games</code></td>\n<td>number of games suspended (one regular season = 16 games)</td>\n</tr>\n<tr>\n<td><code>category</code></td>\n<td>personal conduct, substance abuse, peformance enhancing drugs or in-game violence</td>\n</tr>\n<tr>\n<td><code>desc.</code></td>\n<td>description</td>\n</tr>\n<tr>\n<td><code>year</code></td>\n<td>year of suspension</td>\n</tr>\n<tr>\n<td><code>source</code></td>\n<td>news source</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nfl-suspensions/nfl-suspensions-data.csv",
                    "title": "NFL Suspensions: nfl-suspensions-data.csv"
                },
                "biopics/biopics": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"http://fivethirtyeight.com/features/straight-outta-compton-is-the-rare-biopic-not-about-white-dudes\">'Straight Outta Compton' Is The Rare Biopic Not About White Dudes</a>.</p>\n<p><code>biopics.csv</code> contains the following variables:</p>\n<table>\n<thead>\n<tr>\n<th>Variable</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>title</code></td>\n<td>Title of the film.</td>\n</tr>\n<tr>\n<td><code>site</code></td>\n<td>URL from IMDB.</td>\n</tr>\n<tr>\n<td><code>country</code></td>\n<td>Country of origin.</td>\n</tr>\n<tr>\n<td><code>year_released</code></td>\n<td>Year of release.</td>\n</tr>\n<tr>\n<td><code>box_office</code></td>\n<td>Gross earnings at U.S. box office.</td>\n</tr>\n<tr>\n<td><code>director</code></td>\n<td>Director of film.</td>\n</tr>\n<tr>\n<td><code>number_of_subjects</code></td>\n<td>The number of subjects featured in the film.</td>\n</tr>\n<tr>\n<td><code>subject</code></td>\n<td>The actual name of the featured subject.</td>\n</tr>\n<tr>\n<td><code>type_of_subject</code></td>\n<td>The occupation of subject or reason for recognition.</td>\n</tr>\n<tr>\n<td><code>race_known</code></td>\n<td>Indicates whether the subject\u2019s race was discernible based on background of self, parent, or grandparent.</td>\n</tr>\n<tr>\n<td><code>subject_race</code></td>\n<td>Race of the subject.</td>\n</tr>\n<tr>\n<td><code>person_of_color</code></td>\n<td>Dummy variable that indicates person of color.</td>\n</tr>\n<tr>\n<td><code>subject_sex</code></td>\n<td>Sex of subject.</td>\n</tr>\n<tr>\n<td><code>lead_actor_actress</code></td>\n<td>The actor or actress who played the subject.</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://www.imdb.com/\">IMDb</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/biopics/biopics.csv",
                    "title": "Biopics: biopics.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "rare-pepes/ordermatches_all": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/pepe-the-frog-symbolism-cryptoart-blockchain/\">Can The Blockchain Turn Pepe The Frog Into Modern Art?</a> There are four data files, described below. You can also find further information about individual Rare Pepe assets at <a href=\"https://rarepepewallet.com/feed\">Rare Pepe Wallet</a>.</p>\n<p><code>ordermatches_all.csv</code> contains all Rare Pepe order matches from the beginning of the project, in late 2016, until Feb. 3. All order matches include a pair of assets (a \u201cforward asset\u201d and a \u201cbackward asset\u201d) one of which is a Rare Pepe and the other of which is either XCP, the native <a href=\"https://counterparty.io/\">Counterparty</a> token, or Pepe Cash. The time of the order match can be determined by the block.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Block</code></td>\n<td>The block number</td>\n</tr>\n<tr>\n<td><code>ForwardAsset</code></td>\n<td>The type of forward asset</td>\n</tr>\n<tr>\n<td><code>ForwardQuantity</code></td>\n<td>The quantity of forward asset</td>\n</tr>\n<tr>\n<td><code>BackwardAsset</code></td>\n<td>The type of backward asset</td>\n</tr>\n<tr>\n<td><code>BackwardQuantity</code></td>\n<td>The quantity of backward asset</td>\n</tr>\n</tbody>\n</table>\n<p><code>blocks_timestamps.csv</code> is a pairing of block and timestamp. This can be used to determine the actual time an order match occurred, which can then be used to determine the dollar value of Pepe Cash or XCP at the time of the trade.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Block</code></td>\n<td>The block number</td>\n</tr>\n<tr>\n<td><code>Timestamp</code></td>\n<td>A Unix timestamp</td>\n</tr>\n</tbody>\n</table>\n<p><code>pepecash_prices.csv</code> contains the dollar price of Pepe Cash over time.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Timestamp</code></td>\n<td>A Unix timestamp</td>\n</tr>\n<tr>\n<td><code>Price</code></td>\n<td>The price of Pepe Cash in dollars</td>\n</tr>\n</tbody>\n</table>\n<p><code>xcp_prices.csv</code> contains the dollar price of XCP over time.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Timestamp</code></td>\n<td>A Unix timestamp</td>\n</tr>\n<tr>\n<td><code>Price</code></td>\n<td>The price of XCP in dollars</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://rarepepefoundation.com/\">Rare Pepe Foundation</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/rare-pepes/ordermatches_all.csv",
                    "title": "Rare Pepes: ordermatches_all.csv"
                },
                "rare-pepes/blocks_timestamps": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/pepe-the-frog-symbolism-cryptoart-blockchain/\">Can The Blockchain Turn Pepe The Frog Into Modern Art?</a> There are four data files, described below. You can also find further information about individual Rare Pepe assets at <a href=\"https://rarepepewallet.com/feed\">Rare Pepe Wallet</a>.</p>\n<p><code>ordermatches_all.csv</code> contains all Rare Pepe order matches from the beginning of the project, in late 2016, until Feb. 3. All order matches include a pair of assets (a \u201cforward asset\u201d and a \u201cbackward asset\u201d) one of which is a Rare Pepe and the other of which is either XCP, the native <a href=\"https://counterparty.io/\">Counterparty</a> token, or Pepe Cash. The time of the order match can be determined by the block.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Block</code></td>\n<td>The block number</td>\n</tr>\n<tr>\n<td><code>ForwardAsset</code></td>\n<td>The type of forward asset</td>\n</tr>\n<tr>\n<td><code>ForwardQuantity</code></td>\n<td>The quantity of forward asset</td>\n</tr>\n<tr>\n<td><code>BackwardAsset</code></td>\n<td>The type of backward asset</td>\n</tr>\n<tr>\n<td><code>BackwardQuantity</code></td>\n<td>The quantity of backward asset</td>\n</tr>\n</tbody>\n</table>\n<p><code>blocks_timestamps.csv</code> is a pairing of block and timestamp. This can be used to determine the actual time an order match occurred, which can then be used to determine the dollar value of Pepe Cash or XCP at the time of the trade.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Block</code></td>\n<td>The block number</td>\n</tr>\n<tr>\n<td><code>Timestamp</code></td>\n<td>A Unix timestamp</td>\n</tr>\n</tbody>\n</table>\n<p><code>pepecash_prices.csv</code> contains the dollar price of Pepe Cash over time.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Timestamp</code></td>\n<td>A Unix timestamp</td>\n</tr>\n<tr>\n<td><code>Price</code></td>\n<td>The price of Pepe Cash in dollars</td>\n</tr>\n</tbody>\n</table>\n<p><code>xcp_prices.csv</code> contains the dollar price of XCP over time.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Timestamp</code></td>\n<td>A Unix timestamp</td>\n</tr>\n<tr>\n<td><code>Price</code></td>\n<td>The price of XCP in dollars</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://rarepepefoundation.com/\">Rare Pepe Foundation</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/rare-pepes/blocks_timestamps.csv",
                    "title": "Rare Pepes: blocks_timestamps.csv"
                },
                "rare-pepes/pepecash_prices": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/pepe-the-frog-symbolism-cryptoart-blockchain/\">Can The Blockchain Turn Pepe The Frog Into Modern Art?</a> There are four data files, described below. You can also find further information about individual Rare Pepe assets at <a href=\"https://rarepepewallet.com/feed\">Rare Pepe Wallet</a>.</p>\n<p><code>ordermatches_all.csv</code> contains all Rare Pepe order matches from the beginning of the project, in late 2016, until Feb. 3. All order matches include a pair of assets (a \u201cforward asset\u201d and a \u201cbackward asset\u201d) one of which is a Rare Pepe and the other of which is either XCP, the native <a href=\"https://counterparty.io/\">Counterparty</a> token, or Pepe Cash. The time of the order match can be determined by the block.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Block</code></td>\n<td>The block number</td>\n</tr>\n<tr>\n<td><code>ForwardAsset</code></td>\n<td>The type of forward asset</td>\n</tr>\n<tr>\n<td><code>ForwardQuantity</code></td>\n<td>The quantity of forward asset</td>\n</tr>\n<tr>\n<td><code>BackwardAsset</code></td>\n<td>The type of backward asset</td>\n</tr>\n<tr>\n<td><code>BackwardQuantity</code></td>\n<td>The quantity of backward asset</td>\n</tr>\n</tbody>\n</table>\n<p><code>blocks_timestamps.csv</code> is a pairing of block and timestamp. This can be used to determine the actual time an order match occurred, which can then be used to determine the dollar value of Pepe Cash or XCP at the time of the trade.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Block</code></td>\n<td>The block number</td>\n</tr>\n<tr>\n<td><code>Timestamp</code></td>\n<td>A Unix timestamp</td>\n</tr>\n</tbody>\n</table>\n<p><code>pepecash_prices.csv</code> contains the dollar price of Pepe Cash over time.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Timestamp</code></td>\n<td>A Unix timestamp</td>\n</tr>\n<tr>\n<td><code>Price</code></td>\n<td>The price of Pepe Cash in dollars</td>\n</tr>\n</tbody>\n</table>\n<p><code>xcp_prices.csv</code> contains the dollar price of XCP over time.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Timestamp</code></td>\n<td>A Unix timestamp</td>\n</tr>\n<tr>\n<td><code>Price</code></td>\n<td>The price of XCP in dollars</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://rarepepefoundation.com/\">Rare Pepe Foundation</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/rare-pepes/pepecash_prices.csv",
                    "title": "Rare Pepes: pepecash_prices.csv"
                },
                "rare-pepes/xcp_prices": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/pepe-the-frog-symbolism-cryptoart-blockchain/\">Can The Blockchain Turn Pepe The Frog Into Modern Art?</a> There are four data files, described below. You can also find further information about individual Rare Pepe assets at <a href=\"https://rarepepewallet.com/feed\">Rare Pepe Wallet</a>.</p>\n<p><code>ordermatches_all.csv</code> contains all Rare Pepe order matches from the beginning of the project, in late 2016, until Feb. 3. All order matches include a pair of assets (a \u201cforward asset\u201d and a \u201cbackward asset\u201d) one of which is a Rare Pepe and the other of which is either XCP, the native <a href=\"https://counterparty.io/\">Counterparty</a> token, or Pepe Cash. The time of the order match can be determined by the block.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Block</code></td>\n<td>The block number</td>\n</tr>\n<tr>\n<td><code>ForwardAsset</code></td>\n<td>The type of forward asset</td>\n</tr>\n<tr>\n<td><code>ForwardQuantity</code></td>\n<td>The quantity of forward asset</td>\n</tr>\n<tr>\n<td><code>BackwardAsset</code></td>\n<td>The type of backward asset</td>\n</tr>\n<tr>\n<td><code>BackwardQuantity</code></td>\n<td>The quantity of backward asset</td>\n</tr>\n</tbody>\n</table>\n<p><code>blocks_timestamps.csv</code> is a pairing of block and timestamp. This can be used to determine the actual time an order match occurred, which can then be used to determine the dollar value of Pepe Cash or XCP at the time of the trade.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Block</code></td>\n<td>The block number</td>\n</tr>\n<tr>\n<td><code>Timestamp</code></td>\n<td>A Unix timestamp</td>\n</tr>\n</tbody>\n</table>\n<p><code>pepecash_prices.csv</code> contains the dollar price of Pepe Cash over time.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Timestamp</code></td>\n<td>A Unix timestamp</td>\n</tr>\n<tr>\n<td><code>Price</code></td>\n<td>The price of Pepe Cash in dollars</td>\n</tr>\n</tbody>\n</table>\n<p><code>xcp_prices.csv</code> contains the dollar price of XCP over time.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Timestamp</code></td>\n<td>A Unix timestamp</td>\n</tr>\n<tr>\n<td><code>Price</code></td>\n<td>The price of XCP in dollars</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://rarepepefoundation.com/\">Rare Pepe Foundation</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/rare-pepes/xcp_prices.csv",
                    "title": "Rare Pepes: xcp_prices.csv"
                },
                "congress-age/congress-terms": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/both-republicans-and-democrats-have-an-age-problem/\">Both Republicans And Democrats Have an Age Problem</a></p>\n<p><code>congress-terms.csv</code> has an entry for every member of congress who served at any point during a particular congress between January 1947 and Februrary 2014.</p>\n<p>House membership data is from the <a href=\"http://theunitedstates.io/\">@unitedstates project</a>, with Congress meeting numbers added using code from <a href=\"https://www.govtrack.us/developers/api\">GovTrack</a>:</p>\n<ul>\n<li>https://github.com/unitedstates/congress-legislators</li>\n<li>https://github.com/govtrack/govtrack.us-web/blob/master/us.py#L93</li>\n</ul>\n<p>Senate membership data is mostly from the <a href=\"http://developer.nytimes.com/docs/read/congress_api\">New York Times Congress API</a> combined with birthdays from @unitedstates. (It does not include the birthday of Sen. Elmer Thomas.)</p>\n<p>In addition, we added an <code>incumbent</code> field to each record.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/congress-age/congress-terms.csv",
                    "title": "Congress Age: congress-terms.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "comma-survey/comma-survey": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/elitist-superfluous-or-popular-we-polled-americans-on-the-oxford-comma/\">Elitist, Superfluous, Or Popular? We Polled Americans on the Oxford Comma</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/comma-survey/comma-survey.csv",
                    "title": "Comma Survey: comma-survey.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "most-common-name/aging-curve": {
                    "description_html": "<p>This directory contains the code and data behind the story <a href=\"http://fivethirtyeight.com/features/whats-the-most-common-name-in-america/\">Dear Mona, What\u2019s The Most Common Name In America?</a></p>\n<p>The main script file is <code>most-common-name.R</code></p>\n<p>There are four input files:</p>\n<ul>\n<li><code>state-pop.csv</code> - Total population and Hispanic population by state. </li>\n<li><code>surnames.csv</code> - Data on surnames from the U.S. Census Bureau, including a breakdown by race/ethnicity. </li>\n<li><code>aging-curve.csv</code> - Data from the Social Security Administration on the chances that someone born in the decade shown was still alive in 2013: http://www.ssa.gov/oact/NOTES/as120/LifeTables_Tbl_7.html</li>\n<li><code>adjustments.csv</code> - Taken directly from Lee Hartman's article: http://mypage.siu.edu/lhartman/johnsmith.html.</li>\n</ul>\n<p>And five output files:</p>\n<ul>\n<li><code>adjusted-name-combinations-list.csv</code> - Adjusted estimates for the most common full names. </li>\n<li><code>adjusted-name-combinations-matrix.csv</code> - The same data from the file <code>adjusted-name-combinations-list.csv</code> but in matrix form. These are the estimates presented in the second (and final) table of the article.</li>\n<li><code>independent-name-combinations-by-pop.csv</code> - Matrix of estimates for the top 100 most common first names by top 100 most common surnames. These were calculated using independent odds, and displayed in the first table presented in the article.</li>\n<li><code>new-top-firstNames.csv</code> - Final estimated ranking of top first names.</li>\n<li><code>new-top-surnames.csv</code> - Final estimated ranking of top surnames.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/most-common-name/aging-curve.csv",
                    "title": "Most Common Name: aging-curve.csv"
                },
                "most-common-name/new-top-firstNames": {
                    "description_html": "<p>This directory contains the code and data behind the story <a href=\"http://fivethirtyeight.com/features/whats-the-most-common-name-in-america/\">Dear Mona, What\u2019s The Most Common Name In America?</a></p>\n<p>The main script file is <code>most-common-name.R</code></p>\n<p>There are four input files:</p>\n<ul>\n<li><code>state-pop.csv</code> - Total population and Hispanic population by state. </li>\n<li><code>surnames.csv</code> - Data on surnames from the U.S. Census Bureau, including a breakdown by race/ethnicity. </li>\n<li><code>aging-curve.csv</code> - Data from the Social Security Administration on the chances that someone born in the decade shown was still alive in 2013: http://www.ssa.gov/oact/NOTES/as120/LifeTables_Tbl_7.html</li>\n<li><code>adjustments.csv</code> - Taken directly from Lee Hartman's article: http://mypage.siu.edu/lhartman/johnsmith.html.</li>\n</ul>\n<p>And five output files:</p>\n<ul>\n<li><code>adjusted-name-combinations-list.csv</code> - Adjusted estimates for the most common full names. </li>\n<li><code>adjusted-name-combinations-matrix.csv</code> - The same data from the file <code>adjusted-name-combinations-list.csv</code> but in matrix form. These are the estimates presented in the second (and final) table of the article.</li>\n<li><code>independent-name-combinations-by-pop.csv</code> - Matrix of estimates for the top 100 most common first names by top 100 most common surnames. These were calculated using independent odds, and displayed in the first table presented in the article.</li>\n<li><code>new-top-firstNames.csv</code> - Final estimated ranking of top first names.</li>\n<li><code>new-top-surnames.csv</code> - Final estimated ranking of top surnames.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/most-common-name/new-top-firstNames.csv",
                    "title": "Most Common Name: new-top-firstNames.csv"
                },
                "most-common-name/independent-name-combinations-by-pop": {
                    "description_html": "<p>This directory contains the code and data behind the story <a href=\"http://fivethirtyeight.com/features/whats-the-most-common-name-in-america/\">Dear Mona, What\u2019s The Most Common Name In America?</a></p>\n<p>The main script file is <code>most-common-name.R</code></p>\n<p>There are four input files:</p>\n<ul>\n<li><code>state-pop.csv</code> - Total population and Hispanic population by state. </li>\n<li><code>surnames.csv</code> - Data on surnames from the U.S. Census Bureau, including a breakdown by race/ethnicity. </li>\n<li><code>aging-curve.csv</code> - Data from the Social Security Administration on the chances that someone born in the decade shown was still alive in 2013: http://www.ssa.gov/oact/NOTES/as120/LifeTables_Tbl_7.html</li>\n<li><code>adjustments.csv</code> - Taken directly from Lee Hartman's article: http://mypage.siu.edu/lhartman/johnsmith.html.</li>\n</ul>\n<p>And five output files:</p>\n<ul>\n<li><code>adjusted-name-combinations-list.csv</code> - Adjusted estimates for the most common full names. </li>\n<li><code>adjusted-name-combinations-matrix.csv</code> - The same data from the file <code>adjusted-name-combinations-list.csv</code> but in matrix form. These are the estimates presented in the second (and final) table of the article.</li>\n<li><code>independent-name-combinations-by-pop.csv</code> - Matrix of estimates for the top 100 most common first names by top 100 most common surnames. These were calculated using independent odds, and displayed in the first table presented in the article.</li>\n<li><code>new-top-firstNames.csv</code> - Final estimated ranking of top first names.</li>\n<li><code>new-top-surnames.csv</code> - Final estimated ranking of top surnames.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/most-common-name/independent-name-combinations-by-pop.csv",
                    "title": "Most Common Name: independent-name-combinations-by-pop.csv"
                },
                "most-common-name/surnames": {
                    "description_html": "<p>This directory contains the code and data behind the story <a href=\"http://fivethirtyeight.com/features/whats-the-most-common-name-in-america/\">Dear Mona, What\u2019s The Most Common Name In America?</a></p>\n<p>The main script file is <code>most-common-name.R</code></p>\n<p>There are four input files:</p>\n<ul>\n<li><code>state-pop.csv</code> - Total population and Hispanic population by state. </li>\n<li><code>surnames.csv</code> - Data on surnames from the U.S. Census Bureau, including a breakdown by race/ethnicity. </li>\n<li><code>aging-curve.csv</code> - Data from the Social Security Administration on the chances that someone born in the decade shown was still alive in 2013: http://www.ssa.gov/oact/NOTES/as120/LifeTables_Tbl_7.html</li>\n<li><code>adjustments.csv</code> - Taken directly from Lee Hartman's article: http://mypage.siu.edu/lhartman/johnsmith.html.</li>\n</ul>\n<p>And five output files:</p>\n<ul>\n<li><code>adjusted-name-combinations-list.csv</code> - Adjusted estimates for the most common full names. </li>\n<li><code>adjusted-name-combinations-matrix.csv</code> - The same data from the file <code>adjusted-name-combinations-list.csv</code> but in matrix form. These are the estimates presented in the second (and final) table of the article.</li>\n<li><code>independent-name-combinations-by-pop.csv</code> - Matrix of estimates for the top 100 most common first names by top 100 most common surnames. These were calculated using independent odds, and displayed in the first table presented in the article.</li>\n<li><code>new-top-firstNames.csv</code> - Final estimated ranking of top first names.</li>\n<li><code>new-top-surnames.csv</code> - Final estimated ranking of top surnames.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/most-common-name/surnames.csv",
                    "title": "Most Common Name: surnames.csv"
                },
                "most-common-name/adjusted-name-combinations-list": {
                    "description_html": "<p>This directory contains the code and data behind the story <a href=\"http://fivethirtyeight.com/features/whats-the-most-common-name-in-america/\">Dear Mona, What\u2019s The Most Common Name In America?</a></p>\n<p>The main script file is <code>most-common-name.R</code></p>\n<p>There are four input files:</p>\n<ul>\n<li><code>state-pop.csv</code> - Total population and Hispanic population by state. </li>\n<li><code>surnames.csv</code> - Data on surnames from the U.S. Census Bureau, including a breakdown by race/ethnicity. </li>\n<li><code>aging-curve.csv</code> - Data from the Social Security Administration on the chances that someone born in the decade shown was still alive in 2013: http://www.ssa.gov/oact/NOTES/as120/LifeTables_Tbl_7.html</li>\n<li><code>adjustments.csv</code> - Taken directly from Lee Hartman's article: http://mypage.siu.edu/lhartman/johnsmith.html.</li>\n</ul>\n<p>And five output files:</p>\n<ul>\n<li><code>adjusted-name-combinations-list.csv</code> - Adjusted estimates for the most common full names. </li>\n<li><code>adjusted-name-combinations-matrix.csv</code> - The same data from the file <code>adjusted-name-combinations-list.csv</code> but in matrix form. These are the estimates presented in the second (and final) table of the article.</li>\n<li><code>independent-name-combinations-by-pop.csv</code> - Matrix of estimates for the top 100 most common first names by top 100 most common surnames. These were calculated using independent odds, and displayed in the first table presented in the article.</li>\n<li><code>new-top-firstNames.csv</code> - Final estimated ranking of top first names.</li>\n<li><code>new-top-surnames.csv</code> - Final estimated ranking of top surnames.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/most-common-name/adjusted-name-combinations-list.csv",
                    "title": "Most Common Name: adjusted-name-combinations-list.csv"
                },
                "most-common-name/new-top-surnames": {
                    "description_html": "<p>This directory contains the code and data behind the story <a href=\"http://fivethirtyeight.com/features/whats-the-most-common-name-in-america/\">Dear Mona, What\u2019s The Most Common Name In America?</a></p>\n<p>The main script file is <code>most-common-name.R</code></p>\n<p>There are four input files:</p>\n<ul>\n<li><code>state-pop.csv</code> - Total population and Hispanic population by state. </li>\n<li><code>surnames.csv</code> - Data on surnames from the U.S. Census Bureau, including a breakdown by race/ethnicity. </li>\n<li><code>aging-curve.csv</code> - Data from the Social Security Administration on the chances that someone born in the decade shown was still alive in 2013: http://www.ssa.gov/oact/NOTES/as120/LifeTables_Tbl_7.html</li>\n<li><code>adjustments.csv</code> - Taken directly from Lee Hartman's article: http://mypage.siu.edu/lhartman/johnsmith.html.</li>\n</ul>\n<p>And five output files:</p>\n<ul>\n<li><code>adjusted-name-combinations-list.csv</code> - Adjusted estimates for the most common full names. </li>\n<li><code>adjusted-name-combinations-matrix.csv</code> - The same data from the file <code>adjusted-name-combinations-list.csv</code> but in matrix form. These are the estimates presented in the second (and final) table of the article.</li>\n<li><code>independent-name-combinations-by-pop.csv</code> - Matrix of estimates for the top 100 most common first names by top 100 most common surnames. These were calculated using independent odds, and displayed in the first table presented in the article.</li>\n<li><code>new-top-firstNames.csv</code> - Final estimated ranking of top first names.</li>\n<li><code>new-top-surnames.csv</code> - Final estimated ranking of top surnames.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/most-common-name/new-top-surnames.csv",
                    "title": "Most Common Name: new-top-surnames.csv"
                },
                "most-common-name/adjusted-name-combinations-matrix": {
                    "description_html": "<p>This directory contains the code and data behind the story <a href=\"http://fivethirtyeight.com/features/whats-the-most-common-name-in-america/\">Dear Mona, What\u2019s The Most Common Name In America?</a></p>\n<p>The main script file is <code>most-common-name.R</code></p>\n<p>There are four input files:</p>\n<ul>\n<li><code>state-pop.csv</code> - Total population and Hispanic population by state. </li>\n<li><code>surnames.csv</code> - Data on surnames from the U.S. Census Bureau, including a breakdown by race/ethnicity. </li>\n<li><code>aging-curve.csv</code> - Data from the Social Security Administration on the chances that someone born in the decade shown was still alive in 2013: http://www.ssa.gov/oact/NOTES/as120/LifeTables_Tbl_7.html</li>\n<li><code>adjustments.csv</code> - Taken directly from Lee Hartman's article: http://mypage.siu.edu/lhartman/johnsmith.html.</li>\n</ul>\n<p>And five output files:</p>\n<ul>\n<li><code>adjusted-name-combinations-list.csv</code> - Adjusted estimates for the most common full names. </li>\n<li><code>adjusted-name-combinations-matrix.csv</code> - The same data from the file <code>adjusted-name-combinations-list.csv</code> but in matrix form. These are the estimates presented in the second (and final) table of the article.</li>\n<li><code>independent-name-combinations-by-pop.csv</code> - Matrix of estimates for the top 100 most common first names by top 100 most common surnames. These were calculated using independent odds, and displayed in the first table presented in the article.</li>\n<li><code>new-top-firstNames.csv</code> - Final estimated ranking of top first names.</li>\n<li><code>new-top-surnames.csv</code> - Final estimated ranking of top surnames.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/most-common-name/adjusted-name-combinations-matrix.csv",
                    "title": "Most Common Name: adjusted-name-combinations-matrix.csv"
                },
                "most-common-name/adjustments": {
                    "description_html": "<p>This directory contains the code and data behind the story <a href=\"http://fivethirtyeight.com/features/whats-the-most-common-name-in-america/\">Dear Mona, What\u2019s The Most Common Name In America?</a></p>\n<p>The main script file is <code>most-common-name.R</code></p>\n<p>There are four input files:</p>\n<ul>\n<li><code>state-pop.csv</code> - Total population and Hispanic population by state. </li>\n<li><code>surnames.csv</code> - Data on surnames from the U.S. Census Bureau, including a breakdown by race/ethnicity. </li>\n<li><code>aging-curve.csv</code> - Data from the Social Security Administration on the chances that someone born in the decade shown was still alive in 2013: http://www.ssa.gov/oact/NOTES/as120/LifeTables_Tbl_7.html</li>\n<li><code>adjustments.csv</code> - Taken directly from Lee Hartman's article: http://mypage.siu.edu/lhartman/johnsmith.html.</li>\n</ul>\n<p>And five output files:</p>\n<ul>\n<li><code>adjusted-name-combinations-list.csv</code> - Adjusted estimates for the most common full names. </li>\n<li><code>adjusted-name-combinations-matrix.csv</code> - The same data from the file <code>adjusted-name-combinations-list.csv</code> but in matrix form. These are the estimates presented in the second (and final) table of the article.</li>\n<li><code>independent-name-combinations-by-pop.csv</code> - Matrix of estimates for the top 100 most common first names by top 100 most common surnames. These were calculated using independent odds, and displayed in the first table presented in the article.</li>\n<li><code>new-top-firstNames.csv</code> - Final estimated ranking of top first names.</li>\n<li><code>new-top-surnames.csv</code> - Final estimated ranking of top surnames.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/most-common-name/adjustments.csv",
                    "title": "Most Common Name: adjustments.csv"
                },
                "most-common-name/state-pop": {
                    "description_html": "<p>This directory contains the code and data behind the story <a href=\"http://fivethirtyeight.com/features/whats-the-most-common-name-in-america/\">Dear Mona, What\u2019s The Most Common Name In America?</a></p>\n<p>The main script file is <code>most-common-name.R</code></p>\n<p>There are four input files:</p>\n<ul>\n<li><code>state-pop.csv</code> - Total population and Hispanic population by state. </li>\n<li><code>surnames.csv</code> - Data on surnames from the U.S. Census Bureau, including a breakdown by race/ethnicity. </li>\n<li><code>aging-curve.csv</code> - Data from the Social Security Administration on the chances that someone born in the decade shown was still alive in 2013: http://www.ssa.gov/oact/NOTES/as120/LifeTables_Tbl_7.html</li>\n<li><code>adjustments.csv</code> - Taken directly from Lee Hartman's article: http://mypage.siu.edu/lhartman/johnsmith.html.</li>\n</ul>\n<p>And five output files:</p>\n<ul>\n<li><code>adjusted-name-combinations-list.csv</code> - Adjusted estimates for the most common full names. </li>\n<li><code>adjusted-name-combinations-matrix.csv</code> - The same data from the file <code>adjusted-name-combinations-list.csv</code> but in matrix form. These are the estimates presented in the second (and final) table of the article.</li>\n<li><code>independent-name-combinations-by-pop.csv</code> - Matrix of estimates for the top 100 most common first names by top 100 most common surnames. These were calculated using independent odds, and displayed in the first table presented in the article.</li>\n<li><code>new-top-firstNames.csv</code> - Final estimated ranking of top first names.</li>\n<li><code>new-top-surnames.csv</code> - Final estimated ranking of top surnames.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/most-common-name/state-pop.csv",
                    "title": "Most Common Name: state-pop.csv"
                },
                "infrastructure-jobs/payroll-states": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/using-infrastructure-jobs-as-a-measuring-stick-for-state-level-spending/\">Using Infrastructure Jobs as a Measuring Stick For State-Level Spending</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/infrastructure-jobs/payroll-states.csv",
                    "title": "Infrastructure Jobs: payroll-states.csv"
                },
                "unisex-names/aging_curve": {
                    "description_html": "<p>This directory contains the code and data behind the story <a href=\"http://fivethirtyeight.com/features/there-are-922-unisex-names-in-america-is-yours-one-of-them\">The Most Common Unisex Names In America: Is Yours One Of Them?</a></p>\n<p>The script <code>unisex_names.R</code> generates the data in <code>unisex_names_table.csv</code>, which contains the over 900 names given to each sex at least one-third of the time and with a minimum of 100 people. It has the following variables:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>name</code></td>\n<td>First names from the <a href=\"http://www.ssa.gov/oact/babynames/limits.html\">Social Security Administration</a></td>\n</tr>\n<tr>\n<td><code>total</code></td>\n<td>Total number of living Americans with the name</td>\n</tr>\n<tr>\n<td><code>male_share</code></td>\n<td>Percentage of people with the name who are male</td>\n</tr>\n<tr>\n<td><code>female_share</code></td>\n<td>Percentage of people with the name who are female</td>\n</tr>\n<tr>\n<td><code>gap</code></td>\n<td>Gap between male_share and female_share</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/unisex-names/aging_curve.csv",
                    "title": "Unisex Names: aging_curve.csv"
                },
                "unisex-names/unisex_names_table": {
                    "description_html": "<p>This directory contains the code and data behind the story <a href=\"http://fivethirtyeight.com/features/there-are-922-unisex-names-in-america-is-yours-one-of-them\">The Most Common Unisex Names In America: Is Yours One Of Them?</a></p>\n<p>The script <code>unisex_names.R</code> generates the data in <code>unisex_names_table.csv</code>, which contains the over 900 names given to each sex at least one-third of the time and with a minimum of 100 people. It has the following variables:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>name</code></td>\n<td>First names from the <a href=\"http://www.ssa.gov/oact/babynames/limits.html\">Social Security Administration</a></td>\n</tr>\n<tr>\n<td><code>total</code></td>\n<td>Total number of living Americans with the name</td>\n</tr>\n<tr>\n<td><code>male_share</code></td>\n<td>Percentage of people with the name who are male</td>\n</tr>\n<tr>\n<td><code>female_share</code></td>\n<td>Percentage of people with the name who are female</td>\n</tr>\n<tr>\n<td><code>gap</code></td>\n<td>Gap between male_share and female_share</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/unisex-names/unisex_names_table.csv",
                    "title": "Unisex Names: unisex_names_table.csv"
                },
                "bob-ross/elements-by-episode": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/a-statistical-analysis-of-the-work-of-bob-ross/\">A Statistical Analysis of the Work of Bob Ross</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/bob-ross/elements-by-episode.csv",
                    "title": "Bob Ross: elements-by-episode.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "nfl-ticket-prices/jets-buyer": {
                    "description_html": "<p>This directory contains the data behind the story <a href=\"http://fivethirtyeight.com/datalab/who-goes-to-meaningless-nfl-games-and-why/\">Who Goes To Meaningless NFL Games And Why?</a></p>\n<p>There are three data files:</p>\n<ul>\n<li><code>2014-average-ticket-price.csv</code> - The average ticket price for each divisional game this year as of Dec. 16.</li>\n<li><code>jets-buyer.csv</code> - The location of who bought tickets for each of the Jets\u2019 home games this season. </li>\n<li><code>national-average.csv</code> -  The average home game ticket price for each NFL team during the 2014 season.</li>\n</ul>\n<p>Source: StubHub.com</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nfl-ticket-prices/jets-buyer.csv",
                    "title": "NFL Ticket Prices: jets-buyer.csv"
                },
                "nfl-ticket-prices/national-average": {
                    "description_html": "<p>This directory contains the data behind the story <a href=\"http://fivethirtyeight.com/datalab/who-goes-to-meaningless-nfl-games-and-why/\">Who Goes To Meaningless NFL Games And Why?</a></p>\n<p>There are three data files:</p>\n<ul>\n<li><code>2014-average-ticket-price.csv</code> - The average ticket price for each divisional game this year as of Dec. 16.</li>\n<li><code>jets-buyer.csv</code> - The location of who bought tickets for each of the Jets\u2019 home games this season. </li>\n<li><code>national-average.csv</code> -  The average home game ticket price for each NFL team during the 2014 season.</li>\n</ul>\n<p>Source: StubHub.com</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nfl-ticket-prices/national-average.csv",
                    "title": "NFL Ticket Prices: national-average.csv"
                },
                "nfl-ticket-prices/2014-average-ticket-price": {
                    "description_html": "<p>This directory contains the data behind the story <a href=\"http://fivethirtyeight.com/datalab/who-goes-to-meaningless-nfl-games-and-why/\">Who Goes To Meaningless NFL Games And Why?</a></p>\n<p>There are three data files:</p>\n<ul>\n<li><code>2014-average-ticket-price.csv</code> - The average ticket price for each divisional game this year as of Dec. 16.</li>\n<li><code>jets-buyer.csv</code> - The location of who bought tickets for each of the Jets\u2019 home games this season. </li>\n<li><code>national-average.csv</code> -  The average home game ticket price for each NFL team during the 2014 season.</li>\n</ul>\n<p>Source: StubHub.com</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nfl-ticket-prices/2014-average-ticket-price.csv",
                    "title": "NFL Ticket Prices: 2014-average-ticket-price.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "police-locals/police-locals": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/datalab/most-police-dont-live-in-the-cities-they-serve/\">Most Police Don\u2019t Live In The Cities They Serve</a>.</p>\n<p>Includes the cities with the 75 largest police forces, with the exception of Honolulu for which data is not available. All calculations are based on data from the U.S. Census.</p>\n<p>The Census Bureau numbers are potentially going to differ from other counts for three reasons:</p>\n<ol>\n<li>The census category for police officers also includes sheriffs, transit police and others who might not be under the same jurisdiction as a city\u2019s police department proper. The census category won\u2019t include private security officers.</li>\n<li>The census data is estimated from 2006 to 2010; police forces may have changed in size since then.</li>\n<li>There is always a margin of error in census numbers; they are estimates, not complete counts.</li>\n</ol>\n<p><strong>How to read <code>police-locals.csv</code></strong></p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>city</code></td>\n<td>U.S. city</td>\n</tr>\n<tr>\n<td><code>police_force_size</code></td>\n<td>Number of police officers serving that city</td>\n</tr>\n<tr>\n<td><code>all</code></td>\n<td>Percentage of the total police force that lives in the city</td>\n</tr>\n<tr>\n<td><code>white</code></td>\n<td>Percentage of white (non-Hispanic) police officers who live in the city</td>\n</tr>\n<tr>\n<td><code>non-white</code></td>\n<td>Percentage of non-white police officers who live in the city</td>\n</tr>\n<tr>\n<td><code>black</code></td>\n<td>Percentage of black police officers who live in the city</td>\n</tr>\n<tr>\n<td><code>hispanic</code></td>\n<td>Percentage of Hispanic police officers who live in the city</td>\n</tr>\n<tr>\n<td><code>asian</code></td>\n<td>Percentage of Asian police officers who live in the city</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> When a cell contains <code>**</code> it means that there are fewer than 100 police officers of that race serving that city.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/police-locals/police-locals.csv",
                    "title": "Police Residence: police-locals.csv"
                },
                "antiquities-act/actions_under_antiquities_act": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"http://fivethirtyeight.com/features/trump-might-be-the-first-president-to-scrap-a-national-monument/\">Trump Might Be The First President To Scrap A National Monument</a>.</p>\n<p>This data was compiled by the National Parks Conservation Association and includes national monuments that were created by presidents by under the Antiquities Act. It does not include national monuments created by Congress.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>current_name</code></td>\n<td>Current name of piece of land designated under the Antiquities Act</td>\n</tr>\n<tr>\n<td><code>states</code></td>\n<td>State(s) or territory where land is located</td>\n</tr>\n<tr>\n<td><code>original_name</code></td>\n<td>If included, original name of piece of land designated under the Antiquities Act</td>\n</tr>\n<tr>\n<td><code>current_agency</code></td>\n<td>Current land management agency. NPS = National Parks Service, BLM = Bureau of Land Management, USFS = US Forest Service, FWS = US Fish and Wildlife Service, NOAA = National Oceanic and National Oceanic and Atmospheric Administration</td>\n</tr>\n<tr>\n<td><code>action</code></td>\n<td>Type of action taken on land</td>\n</tr>\n<tr>\n<td><code>date</code></td>\n<td>Date of action</td>\n</tr>\n<tr>\n<td><code>year</code></td>\n<td>Year of action</td>\n</tr>\n<tr>\n<td><code>pres_or_congress</code></td>\n<td>President or congress that issued action</td>\n</tr>\n<tr>\n<td><code>acres_affected</code></td>\n<td>Acres affected by action. Note that total current acreage is not included. National monuments that cover ocean are listed in square miles.</td>\n</tr>\n</tbody>\n</table>\n<p>Sources: <a href=\"https://www.npca.org/\">National Parks Conservation Association</a> and <a href=\"https://www.nps.gov/history/archeology/sites/antiquities/MonumentsList.htm\">National Parks Service Archeology Program</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/antiquities-act/actions_under_antiquities_act.csv",
                    "title": "Antiquities Act: actions_under_antiquities_act.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "twitter-ratio/senators": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/the-worst-tweeter-in-politics-isnt-trump/\">The Worst Tweeter In Politics Isn\u2019t Trump</a>.</p>\n<p><code>senators.csv</code> contains tweets from all senators collected on Oct. 19 and 20.</p>\n<p><code>BarackObama.csv</code> contains tweets from <a href=\"https://twitter.com/BarackObama\">@BarackObama</a> collected on Oct. 20.</p>\n<p><code>realDonaldTrump.csv</code> contains tweets from <a href=\"https://twitter.com/realDonaldTrump\">@realDonaldTrump</a> collected on Oct. 23.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/twitter-ratio/senators.csv",
                    "title": "Twitter Ratio: senators.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "twitter-ratio/BarackObama": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/the-worst-tweeter-in-politics-isnt-trump/\">The Worst Tweeter In Politics Isn\u2019t Trump</a>.</p>\n<p><code>senators.csv</code> contains tweets from all senators collected on Oct. 19 and 20.</p>\n<p><code>BarackObama.csv</code> contains tweets from <a href=\"https://twitter.com/BarackObama\">@BarackObama</a> collected on Oct. 20.</p>\n<p><code>realDonaldTrump.csv</code> contains tweets from <a href=\"https://twitter.com/realDonaldTrump\">@realDonaldTrump</a> collected on Oct. 23.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/twitter-ratio/BarackObama.csv",
                    "title": "Twitter Ratio: BarackObama.csv"
                },
                "twitter-ratio/realDonaldTrump": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/the-worst-tweeter-in-politics-isnt-trump/\">The Worst Tweeter In Politics Isn\u2019t Trump</a>.</p>\n<p><code>senators.csv</code> contains tweets from all senators collected on Oct. 19 and 20.</p>\n<p><code>BarackObama.csv</code> contains tweets from <a href=\"https://twitter.com/BarackObama\">@BarackObama</a> collected on Oct. 20.</p>\n<p><code>realDonaldTrump.csv</code> contains tweets from <a href=\"https://twitter.com/realDonaldTrump\">@realDonaldTrump</a> collected on Oct. 23.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/twitter-ratio/realDonaldTrump.csv",
                    "title": "Twitter Ratio: realDonaldTrump.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "food-world-cup/food-world-cup-data": {
                    "description_html": "<p>This table contains data behind the stories:\n<em> <a href=\"https://fivethirtyeight.com/features/the-fivethirtyeight-international-food-associations-2014-world-cup/\">The FiveThirtyEight International Food Association\u2019s 2014 World Cup</a>\n</em> <a href=\"https://fivethirtyeight.com/features/what-is-americans-favorite-global-cuisine/\">What is Americans\u2019 Favorite Global Cuisine?</a></p>\n<p>Anwser key for the responses to the \"Please rate how much you like the traditional cuisine of X:\" questions.</p>\n<table>\n<thead>\n<tr>\n<th>Value</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>5</td>\n<td>I love this country's traditional cuisine. I think it's one of the best in the world.</td>\n</tr>\n<tr>\n<td>4</td>\n<td>I like this country's traditional cuisine. I think it's considerably above average.</td>\n</tr>\n<tr>\n<td>3</td>\n<td>I'm OK with this county's traditional cuisine. I think it's about average.</td>\n</tr>\n<tr>\n<td>2</td>\n<td>I dislike this country's traditional cuisine. I think it's considerably below average.</td>\n</tr>\n<tr>\n<td>1</td>\n<td>I hate this country's traditional cuisine. I think it's one of the worst in the world.</td>\n</tr>\n<tr>\n<td>N/A</td>\n<td>I'm unfamiliar with this country's traditional cuisine.</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/food-world-cup/food-world-cup-data.csv",
                    "title": "Food World Cup: food-world-cup-data.csv"
                },
                "forecast-methodology/historical-senate-predictions": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"http://fivethirtyeight.com/features/how-the-fivethirtyeight-senate-forecast-model-works/\">How The FiveThirtyEight Senate Forecast Model Works</a>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>state</code></td>\n<td>Election</td>\n</tr>\n<tr>\n<td><code>year</code></td>\n<td>Year of election</td>\n</tr>\n<tr>\n<td><code>candidate</code></td>\n<td>Last name</td>\n</tr>\n<tr>\n<td><code>forecast_prob</code></td>\n<td>Probability of winning election per FiveThirtyEight Election Day forecast</td>\n</tr>\n<tr>\n<td><code>result</code></td>\n<td><code>Win</code> or <code>Loss</code></td>\n</tr>\n</tbody>\n</table>\n<p>For archived results, see:</p>\n<ul>\n<li><strong>2008</strong> https://web.archive.org/web/20081106113055/http://www.fivethirtyeight.com/</li>\n<li><strong>2010</strong> http://elections.nytimes.com/2010/forecasts/senate</li>\n<li><strong>2012</strong> http://fivethirtyeight.blogs.nytimes.com/fivethirtyeights-2012-forecast/</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/forecast-methodology/historical-senate-predictions.csv",
                    "title": "Historical FiveThirtyEight Senate Forecasts: historical-senate-predictions.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "foul-balls/foul-balls": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/we-watched-906-foul-balls-to-find-out-where-the-most-dangerous-ones-land/\">We Watched 906 Foul Balls To Find Out Where The Most Dangerous Ones Land</a>.</p>\n<p><code>foul-balls.csv</code> contains 906 foul balls collected from the most foul-heavy day at each of the the 10 stadiums that produced the most foul balls, as of June 5, 2019. Batted-ball data is from <a href=\"https://baseballsavant.mlb.com/statcast_search?hfPT=&amp;hfAB=&amp;hfBBT=&amp;hfPR=foul%7C&amp;hfZ=&amp;stadium=&amp;hfBBL=&amp;hfNewZones=&amp;hfGT=R%7C&amp;hfC=&amp;hfSea=2019%7C&amp;hfSit=&amp;player_type=pitcher&amp;hfOuts=&amp;opponent=&amp;pitcher_throws=&amp;batter_stands=&amp;hfSA=&amp;game_date_gt=&amp;game_date_lt=2019-06-05&amp;hfInfield=&amp;team=&amp;position=&amp;hfOutfield=&amp;hfRO=&amp;home_road=&amp;hfFlag=&amp;hfPull=&amp;metric_1=&amp;hfInn=&amp;min_pitches=0&amp;min_results=0&amp;group_by=venue&amp;sort_col=pitches&amp;player_event_sort=h_launch_speed&amp;sort_order=desc&amp;min_pas=0#results\">Baseball Savant</a>. </p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>matchup</code></td>\n<td>The two teams that played</td>\n</tr>\n<tr>\n<td><code>game_date</code></td>\n<td>Date of the most foul-heavy day at each stadium</td>\n</tr>\n<tr>\n<td><code>type_of_hit</code></td>\n<td>Fly, grounder, line drive, pop up or batter hits self</td>\n</tr>\n<tr>\n<td><code>exit_velocity</code></td>\n<td>Recorded exit velocity of each hit -- blank if not provided</td>\n</tr>\n<tr>\n<td><code>predicted_zone</code></td>\n<td>The zone we predicted the foul ball would land in by gauging angles</td>\n</tr>\n<tr>\n<td><code>camera_zone</code></td>\n<td>The zone that the foul ball landed in, confirmed by footage</td>\n</tr>\n<tr>\n<td><code>used_zone</code></td>\n<td>The zone used for analysis</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/foul-balls/foul-balls.csv",
                    "title": "foul-balls: foul-balls.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "bechdel/movies": {
                    "description_html": "<p>This table contains data and code behind the story <a href=\"http://fivethirtyeight.com/features/the-dollar-and-cents-case-against-hollywoods-exclusion-of-women/\">The Dollar-And-Cents Case Against Hollywood\u2019s Exclusion of Women</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/bechdel/movies.csv",
                    "title": "Bechdel: movies.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "fifa/fifa_countries_audience": {
                    "description_html": "<p>This directory contains the data behind the story <a href=\"http://fivethirtyeight.com/features/how-to-break-fifa/\">How To Break FIFA</a>.</p>\n<p>The data file <code>fifa_countries_audience.csv</code> includes the following variables:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>country</code></td>\n<td>FIFA member country</td>\n</tr>\n<tr>\n<td><code>confederation</code></td>\n<td>Confederation to which country belongs</td>\n</tr>\n<tr>\n<td><code>population_share</code></td>\n<td>Country's share of global population (percentage)</td>\n</tr>\n<tr>\n<td><code>tv_audience_share</code></td>\n<td>Country's share of global world cup TV Audience (percentage)</td>\n</tr>\n<tr>\n<td><code>gdp_weighted_share</code></td>\n<td>Country's GDP-weighted audience share (percentage)</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/fifa/fifa_countries_audience.csv",
                    "title": "FIFA: fifa_countries_audience.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "steak-survey/steak-risk-survey": {
                    "description_html": "<p>This table contains data behind the stories:\n<em> <a href=\"https://fivethirtyeight.com/features/how-americans-like-their-steak/\">How Americans Like Their Steak</a>.\n</em> <a href=\"https://fivethirtyeight.com/features/how-americans-order-their-steak/\">How Americans Order Their Steak</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/steak-survey/steak-risk-survey.csv",
                    "title": "Steak Survey: steak-risk-survey.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "sleeping-alone-": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/dear-mona-how-many-couples-sleep-in-separate-beds/\">Dear Mona, How Many Couples Sleep in Separate Beds?</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/sleeping-alone-.csv",
                    "title": "Sleeping Alone: sleeping-alone-data.csv"
                },
                "reluctant-trump/february_2018_rawdata": {
                    "description_html": "<p>This directory contains data behind the stories:</p>\n<ul>\n<li><a href=\"https://fivethirtyeight.com/features/trumps-reluctant-voters-are-getting-more-reluctant/\">Trump\u2019s Reluctant Voters Are Getting More Reluctant</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/how-trumps-least-enthusiastic-voters-feel-about-him-now/\">How Trump\u2019s Least Enthusiastic Voters Feel About Him Now</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/reluctant-trump-voters-swung-the-election-heres-how-they-think-hes-doing/\">\u2018Reluctant\u2019 Trump Voters Swung The Election. Here\u2019s How They Think He\u2019s Doing</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/the-economy-is-keeping-reluctant-trump-voters-with-him/\">The Economy Is Keeping \u2018Reluctant\u2019 Trump Voters With Him</a></li>\n</ul>\n<p>Files in this directory contain data from a SurveyMonkey News Survey conducted in partnership with FiveThirtyEight and include crosstabs of Trump voters who were excited to vote for Trump versus those who were not.</p>\n<table>\n<thead>\n<tr>\n<th>file</th>\n<th>survey dates</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>february_2018_responses.xlsx</code></td>\n<td>February 12 - 19, 2018</td>\n</tr>\n<tr>\n<td><code>february_2018_questionnaire.pdf</code></td>\n<td></td>\n</tr>\n<tr>\n<td><code>february_2018_rawdata.csv</code></td>\n<td></td>\n</tr>\n<tr>\n<td><code>august_2017_responses.xlsx</code></td>\n<td>August 18 - 21, 2017</td>\n</tr>\n<tr>\n<td><code>may_2017_responses.xlsx</code></td>\n<td>May 26 - June 4, 2017</td>\n</tr>\n<tr>\n<td><code>may_2017_questionnaire.pdf</code></td>\n<td></td>\n</tr>\n<tr>\n<td><code>april_2017_responses.xlsx</code></td>\n<td>April 18 - 23, 2017</td>\n</tr>\n<tr>\n<td><code>march_2017_responses.xlsx</code></td>\n<td>March 31 - April 7, 2017</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/reluctant-trump/february_2018_rawdata.csv",
                    "title": "Reluctant Trump Voters: february_2018_rawdata.csv"
                },
                "scrabble-games/scrabble_games": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/how-qi-and-za-changed-scrabble/\">How 'Qi' And 'Za' Changed Scrabble</a>.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>gameid</code></td>\n<td>A numerical game ID</td>\n</tr>\n<tr>\n<td><code>tourneyid</code></td>\n<td>A numerical tournament ID</td>\n</tr>\n<tr>\n<td><code>tie</code></td>\n<td>A binary variable indicating if the game ended in a tie</td>\n</tr>\n<tr>\n<td><code>winnerid</code></td>\n<td>A numerical ID for the winning player</td>\n</tr>\n<tr>\n<td><code>winnername</code></td>\n<td>The name of the winning player</td>\n</tr>\n<tr>\n<td><code>winnerscore</code></td>\n<td>The score of the winning player</td>\n</tr>\n<tr>\n<td><code>winneroldrating</code></td>\n<td>The winner\u2019s rating before the game</td>\n</tr>\n<tr>\n<td><code>winnernewrating</code></td>\n<td>The winner\u2019s rating after the game</td>\n</tr>\n<tr>\n<td><code>winnerpos</code></td>\n<td>The winner\u2019s position in the tournament</td>\n</tr>\n<tr>\n<td><code>loserid</code></td>\n<td>A numerical ID for the losing player</td>\n</tr>\n<tr>\n<td><code>loserscore</code></td>\n<td>The score of the losing player</td>\n</tr>\n<tr>\n<td><code>loseroldrating</code></td>\n<td>The loser\u2019s rating before the game</td>\n</tr>\n<tr>\n<td><code>losernewrating</code></td>\n<td>The loser\u2019s rating after the game</td>\n</tr>\n<tr>\n<td><code>loserpos</code></td>\n<td>The loser\u2019s position in the tournament</td>\n</tr>\n<tr>\n<td><code>round</code></td>\n<td>The round of the tournament in which the game took place</td>\n</tr>\n<tr>\n<td><code>division</code></td>\n<td>The division of the tournament in which the game took place</td>\n</tr>\n<tr>\n<td><code>date</code></td>\n<td>The date of the game</td>\n</tr>\n<tr>\n<td><code>lexicon</code></td>\n<td>A binary variable indicating if the game\u2019s lexicon was the main North American lexicon (<code>False</code>) or the international lexicon (<code>True</code>)</td>\n</tr>\n</tbody>\n</table>\n<p>Source: <a href=\"http://cross-tables.com\">cross-tables.com</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/scrabble-games/scrabble_games.csv",
                    "title": "Scrabble Games: scrabble_games.csv"
                },
                "congress-generic-ballot/generic_topline_historical": {
                    "description_html": "<hr />\n<p>files:\n  - https://projects.fivethirtyeight.com/generic-ballot-data/generic_polllist.csv\n  - https://projects.fivethirtyeight.com/generic-ballot-data/generic_topline.csv</p>\n<hr />\n<h1>Congress Generic Ballot Polls</h1>\n<p>This file contains links to the data behind <a href=\"https://projects.fivethirtyeight.com/congress-generic-ballot-polls/\">Are Democrats Winning The Race For Congress?</a></p>\n<ul>\n<li><a href=\"https://projects.fivethirtyeight.com/generic-ballot-data/generic_polllist.csv\"><code>generic_polllist.csv</code></a> contains a list of generic ballot polls for the current election cycle.</li>\n<li><a href=\"https://projects.fivethirtyeight.com/generic-ballot-data/generic_topline.csv\"><code>generic_topline.csv</code></a> contains a trendline for the generic ballot for the current election cycle.</li>\n<li><a href=\"./generic_topline_historical.csv\"><code>generic_topline_historical.csv</code></a> contains a trendline for the generic ballot for previous election cycles going back to 1996.</li>\n</ul>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/congress-generic-ballot/generic_topline_historical.csv"
                },
                "political-elasticity-scores/elasticity-by-state": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/election-update-the-house-districts-that-swing-the-most-and-least-with-the-national-mood/\">Election Update: The House Districts That Swing The Most (And Least) With The National Mood</a>.</p>\n<p>An elasticity score measures how sensitive a state or district it is to changes in the national political environment.</p>\n<p><code>elasticity-by-state.csv</code> contains the elasticity scores for each state and the District of Columbia.</p>\n<p><code>elasticity-by-district.csv</code> contains the elasticity scores for all 435 congressional districts.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/political-elasticity-scores/elasticity-by-state.csv",
                    "title": "Political Elasticity Scores: elasticity-by-state.csv"
                },
                "political-elasticity-scores/elasticity-by-district": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/election-update-the-house-districts-that-swing-the-most-and-least-with-the-national-mood/\">Election Update: The House Districts That Swing The Most (And Least) With The National Mood</a>.</p>\n<p>An elasticity score measures how sensitive a state or district it is to changes in the national political environment.</p>\n<p><code>elasticity-by-state.csv</code> contains the elasticity scores for each state and the District of Columbia.</p>\n<p><code>elasticity-by-district.csv</code> contains the elasticity scores for all 435 congressional districts.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/political-elasticity-scores/elasticity-by-district.csv",
                    "title": "Political Elasticity Scores: elasticity-by-district.csv"
                },
                "ahca-polls/ahca_polls": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/why-the-gop-is-so-hell-bent-on-passing-an-unpopular-health-care-bill\">Why The GOP Is So Hell-Bent On Passing An Unpopular Health Care Bill</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/ahca-polls/ahca_polls.csv",
                    "title": "American Health Care Act Polls: ahca_polls.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "trump-twitter/realDonaldTrump_poll_tweets": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/the-worlds-favorite-donald-trump-tweets/\">The World\u2019s Favorite Donald Trump Tweets</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/trump-twitter/realDonaldTrump_poll_tweets.csv",
                    "title": "Trump Twitter: realDonaldTrump_poll_tweets.csv"
                },
                "san-andreas/earthquake_data": {
                    "description_html": "<p>This directory contains the data behind the story <a href=\"http://fivethirtyeight.com/datalab/the-rock-isnt-alone-lots-of-people-are-worried-about-the-big-one\">The Rock Isn\u2019t Alone: Lots Of People Are Worried About \u2018The Big One\u2019</a>.</p>\n<p><code>earthquake_data.csv</code> contains the following variables:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>In general, how worried are you about earthquakes?</code></td>\n<td>Not at all worried, not so worried, somewhat worried, very worried, extremely worried</td>\n</tr>\n<tr>\n<td><code>How worried are you\u00a0about the \u201cBig One,\u201d a massive, catastrophic earthquake?</code></td>\n<td>Not at all worried, not so worried, somewhat worried, very worried, extremely worried</td>\n</tr>\n<tr>\n<td><code>Do you think the \"Big One\" will occur in your lifetime?</code></td>\n<td>Yes, No</td>\n</tr>\n<tr>\n<td><code>Have you ever experienced\u00a0an earthquake?</code></td>\n<td>Yes, one or more minor ones; Yes, one or more major ones; No</td>\n</tr>\n<tr>\n<td><code>Have you or anyone in your household taken any precautions for an earthquake (packed an earthquake survival kit, prepared an evacuation plan, etc.)?</code></td>\n<td>Yes, No</td>\n</tr>\n<tr>\n<td><code>How familiar are you with the San Andreas Fault line?</code></td>\n<td>Not at all familiar, not so familiar, somewhat familiar, very familiar, extremely familiar</td>\n</tr>\n<tr>\n<td><code>How familiar are you with the Yellowstone Supervolcano?</code></td>\n<td>Not at all familiar, not so familiar, somewhat familiar, very familiar, extremely familiar</td>\n</tr>\n<tr>\n<td><code>Age</code></td>\n<td>18-29, 30-44, 45-59, 60+</td>\n</tr>\n<tr>\n<td><code>What is your gender?</code></td>\n<td>Male, Female</td>\n</tr>\n<tr>\n<td><code>How much total combined money did all members of your HOUSEHOLD earn last year?</code></td>\n<td>1$0 to $9,999; $10,000 to $24,999; $25,000 to $49,999; $50,000 to $74,999; $75,000 to $99,999; $100,000 to $124,999; $125,000 to $149,999; $150,000 to $174,999; $175,000 to $199,999; $200,000 and up; Prefer not to answer</td>\n</tr>\n<tr>\n<td><code>US Region</code></td>\n<td>East North Central, East South Central, Middle Atlantic, Mountain, New England, Pacific, South Atlantic, West North Central, West South Central</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/san-andreas/earthquake_data.csv",
                    "title": "Earthquake Data: earthquake_data.csv"
                },
                "murder_2016/murder_2015_final": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/a-handful-of-cities-are-driving-2016s-rise-in-murders/\">A Handful Of Cities Are Driving 2016's Rise In Murder</a>.</p>\n<p><code>murder_2016_prelim.csv</code> contains preliminary 2016 murder counts for 79 large U.S. cities. 2015 figures are counts through the same data a year ago. Sources are listed in the file.</p>\n<p><code>murder_2015_final.csv</code> contains full-year 2014 and 2015 murder counts for all U.S. cities with at least 250,000 residents. Source is FBI Uniform Crime Reports.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/murder_2016/murder_2015_final.csv",
                    "title": "2016 Murder Data: murder_2015_final.csv"
                },
                "murder_2016/murder_2016_prelim": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/a-handful-of-cities-are-driving-2016s-rise-in-murders/\">A Handful Of Cities Are Driving 2016's Rise In Murder</a>.</p>\n<p><code>murder_2016_prelim.csv</code> contains preliminary 2016 murder counts for 79 large U.S. cities. 2015 figures are counts through the same data a year ago. Sources are listed in the file.</p>\n<p><code>murder_2015_final.csv</code> contains full-year 2014 and 2015 murder counts for all U.S. cities with at least 250,000 residents. Source is FBI Uniform Crime Reports.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/murder_2016/murder_2016_prelim.csv",
                    "title": "2016 Murder Data: murder_2016_prelim.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "russia-investigation/russia-investigation": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://projects.fivethirtyeight.com/russia-investigation/\">Is The Russia Investigation Really Another Watergate?</a>.</p>\n<p><code>russia-investigation.csv</code> contains every special investigation since the Watergate probe began in 1973 and who was charged in them.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>investigation</code></td>\n<td>Unique id for each investigation</td>\n</tr>\n<tr>\n<td><code>investigation-start</code></td>\n<td>Start date of the investigation</td>\n</tr>\n<tr>\n<td><code>investigation-end</code></td>\n<td>End date of the investigation</td>\n</tr>\n<tr>\n<td><code>investigation-days</code></td>\n<td>Length, in days, of the investigation. Days will be negative if the charge occured before the investigation began.</td>\n</tr>\n<tr>\n<td><code>name</code></td>\n<td>Name of the person charged (if applicable). Will be blank if there were no charges.</td>\n</tr>\n<tr>\n<td><code>indictment-days</code></td>\n<td>Length, in days, from the start of the investigation to the date the person was charged (if applicable). Days will be negative if the charge occured before the investigation began.</td>\n</tr>\n<tr>\n<td><code>type</code></td>\n<td>Result of charge (if applicable)</td>\n</tr>\n<tr>\n<td><code>cp-date</code></td>\n<td>Date the person pled guilty or was convicted (if applicable)</td>\n</tr>\n<tr>\n<td><code>cp-days</code></td>\n<td>Length, in days, from the start of the investigation to the date the person pled guilty or was convicted (if applicable)</td>\n</tr>\n<tr>\n<td><code>overturned</code></td>\n<td>Whether or not the relevant person's conviction was overturned</td>\n</tr>\n<tr>\n<td><code>pardoned</code></td>\n<td>Whether or not the relevant person's charge was pardoned</td>\n</tr>\n<tr>\n<td><code>american</code></td>\n<td>Whether or not the relevant person's charge was a U.S. resident</td>\n</tr>\n<tr>\n<td><code>president</code></td>\n<td>President at the center of the investigation</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/russia-investigation/russia-investigation.csv",
                    "title": "Russia Investigation: russia-investigation.csv"
                },
                "trump-lawsuits/trump-lawsuits": {
                    "description_html": "<p>This table contains the data behind the stories: </p>\n<ul>\n<li><a href=\"https://fivethirtyeight.com/features/what-trumps-legal-battles-tell-us-about-presidential-power/\">What Trump's Legal Battles Tell Us About Presidential Power</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/why-it-might-be-impossible-to-overturn-a-presidential-pardon/\">Why It Might Be Impossible To Overturn A Presidential Pardon</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/will-the-supreme-court-fast-track-cases-involving-trump/\">Will The Supreme Court Fast-Track Cases Involving Trump?</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/why-one-of-trumps-biggest-legal-threats-is-new-yorks-attorney-general/\">Why One of Trump\u2019s Biggest Legal Threats Is New York\u2019s Attorney General</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/should-judges-pay-attention-to-trumps-tweets/\">Should Judges Pay Attention To Trump\u2019s Tweets?</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/trump-is-losing-the-legal-fight-against-sanctuary-cities-but-it-may-still-pay-off-politically/\">Trump Is Losing The Legal Fight Against Sanctuary Cities, But It May Still Pay Off Politically</a></li>\n<li><a href=\"https://fivethirtyeight.com/features/will-trumps-latest-lawsuits-keep-congress-from-investigating-future-presidents/\">Will Trump\u2019s Latest Lawsuits Keep Congress From Investigating Future Presidents?</a></li>\n</ul>\n<table>\n<thead>\n<tr>\n<th>Variable</th>\n<th>Description</th>\n<th>Values</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>docketNumber</code></td>\n<td>Current docket number</td>\n<td></td>\n</tr>\n<tr>\n<td><code>dateFiled</code></td>\n<td>Date lawsuit was originally filed</td>\n<td></td>\n</tr>\n<tr>\n<td><code>caseName</code></td>\n<td>Case name (current)</td>\n<td></td>\n</tr>\n<tr>\n<td><code>plaintiff</code></td>\n<td>Names of plaintiffs (if more than five, \"et al\" for plaintiffs who are not in case name)</td>\n<td></td>\n</tr>\n<tr>\n<td><code>defendant</code></td>\n<td>Names of defendants (if more than five, \"et al\" for defendants who are not in case name)</td>\n<td></td>\n</tr>\n<tr>\n<td><code>currentLocation</code></td>\n<td>Court the lawsuit is currently in front of</td>\n<td></td>\n</tr>\n<tr>\n<td><code>previousLocation</code></td>\n<td>Other courts the case has appeared before</td>\n<td></td>\n</tr>\n<tr>\n<td><code>jurisdiction</code></td>\n<td>Where the case is being heard</td>\n<td>1 = Federal; 2 = State</td>\n</tr>\n<tr>\n<td><code>judge</code></td>\n<td>Names of the judges the case is currently before</td>\n<td></td>\n</tr>\n<tr>\n<td><code>nature</code></td>\n<td>PACER code for nature of lawsuit (Not relevant for criminal cases) https://www.pacer.gov/documents/natsuit.pdf</td>\n<td></td>\n</tr>\n<tr>\n<td><code>capacity</code></td>\n<td>The capacity in which Trump is implicated</td>\n<td>1 = Case directed at Trump personally; 2 = Case directed at action of Trump administration; 3 = Trump as plaintiff; 4 = Trump administration as plaintiff; 5 = Case directed at Trump associate; 6 = Other</td>\n</tr>\n<tr>\n<td><code>type</code></td>\n<td>Criminal vs. civil</td>\n<td>1 = Criminal; 2 = Civil</td>\n</tr>\n<tr>\n<td><code>TrumpCategory</code></td>\n<td>Whether the case is related to action before Trump was president, his personal conduct as president, or a policy action as president</td>\n<td>1 = Case directed at pre-presidency action; 2 = Case directed at personal action of Trump as president; 3 = Case directed at policy action of Trump as president</td>\n</tr>\n<tr>\n<td><code>issue</code></td>\n<td>Key topic area raised in the case (i.e. emoluments, First Amendment, DACA, etc). Categories created based on key policy topic area or legal issue. Calls are subjective and based on reporting and may change.</td>\n<td></td>\n</tr>\n<tr>\n<td><code>docketOrig</code></td>\n<td>Original docket number, if case has been appealed or changed jurisdiction</td>\n<td></td>\n</tr>\n<tr>\n<td><code>status</code></td>\n<td>Whether the case, or the part of the case connected to Trump, is ongoing.</td>\n<td>1 = Case is ongoing; 2 = Case or part of case connected to Trump is closed</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/trump-lawsuits/trump-lawsuits.csv",
                    "title": "Trump Lawsuits: trump-lawsuits.csv"
                },
                "partisan-lean/fivethirtyeight_partisan_lean_STATES": {
                    "description_html": "<p>This directory contains the data for FiveThirtyEight's partisan lean, which is used in our election forecasts.</p>\n<p>Partisan lean is the average difference between how a state or district votes and how the country votes overall, with 2016 presidential election results weighted 50 percent, 2012 presidential election results weighted 25 percent and results from elections for the state legislature weighted 25 percent.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/partisan-lean/fivethirtyeight_partisan_lean_STATES.csv",
                    "title": "FiveThirtyEight's Partisan Lean: fivethirtyeight_partisan_lean_STATES.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "partisan-lean/fivethirtyeight_partisan_lean_DISTRICTS": {
                    "description_html": "<p>This directory contains the data for FiveThirtyEight's partisan lean, which is used in our election forecasts.</p>\n<p>Partisan lean is the average difference between how a state or district votes and how the country votes overall, with 2016 presidential election results weighted 50 percent, 2012 presidential election results weighted 25 percent and results from elections for the state legislature weighted 25 percent.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/partisan-lean/fivethirtyeight_partisan_lean_DISTRICTS.csv",
                    "title": "FiveThirtyEight's Partisan Lean: fivethirtyeight_partisan_lean_DISTRICTS.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "trump-world-trust/TRUMPWORLD-issue-3": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/what-the-world-thinks-of-trump/\">What The World Thinks Of Trump</a>.</p>\n<p>Two of the datasets concern the share of different countries' populations that:</p>\n<ul>\n<li>Have a favorable view of the U.S. (<code>TRUMPWORLD-us.csv</code>)</li>\n<li>Trust the U.S. president when it comes to world affairs (<code>TRUMPWORLD-pres.csv</code>)</li>\n</ul>\n<p>The other five are approval ratings across countries for five of President Trump's proposed policies:</p>\n<ul>\n<li>Withdraw support for international climate change agreements (<code>TRUMPWORLD-issue-1.csv</code>)</li>\n<li>Build a wall on the border between the U. S. and Mexico (<code>TRUMPWORLD-issue-2.csv</code>)</li>\n<li>Withdraw U.S. support from the Iran nuclear weapons agreement (<code>TRUMPWORLD-issue-3.csv</code>)</li>\n<li>Withdraw U.S. support for major trade agreements (<code>TRUMPWORLD-issue-4.csv</code>)</li>\n<li>Introduce tighter restrictions on those entering the U.S. from some majority-Muslim countries (<code>TRUMPWORLD-issue-5.csv</code>)</li>\n</ul>\n<p>Source: <a href=\"http://www.pewresearch.org/fact-tank/2017/07/17/9-charts-on-how-the-world-sees-trump/\">Pew Research Center</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/trump-world-trust/TRUMPWORLD-issue-3.csv",
                    "title": "Trump World Trust: TRUMPWORLD-issue-3.csv"
                },
                "trump-world-trust/TRUMPWORLD-issue-4": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/what-the-world-thinks-of-trump/\">What The World Thinks Of Trump</a>.</p>\n<p>Two of the datasets concern the share of different countries' populations that:</p>\n<ul>\n<li>Have a favorable view of the U.S. (<code>TRUMPWORLD-us.csv</code>)</li>\n<li>Trust the U.S. president when it comes to world affairs (<code>TRUMPWORLD-pres.csv</code>)</li>\n</ul>\n<p>The other five are approval ratings across countries for five of President Trump's proposed policies:</p>\n<ul>\n<li>Withdraw support for international climate change agreements (<code>TRUMPWORLD-issue-1.csv</code>)</li>\n<li>Build a wall on the border between the U. S. and Mexico (<code>TRUMPWORLD-issue-2.csv</code>)</li>\n<li>Withdraw U.S. support from the Iran nuclear weapons agreement (<code>TRUMPWORLD-issue-3.csv</code>)</li>\n<li>Withdraw U.S. support for major trade agreements (<code>TRUMPWORLD-issue-4.csv</code>)</li>\n<li>Introduce tighter restrictions on those entering the U.S. from some majority-Muslim countries (<code>TRUMPWORLD-issue-5.csv</code>)</li>\n</ul>\n<p>Source: <a href=\"http://www.pewresearch.org/fact-tank/2017/07/17/9-charts-on-how-the-world-sees-trump/\">Pew Research Center</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/trump-world-trust/TRUMPWORLD-issue-4.csv",
                    "title": "Trump World Trust: TRUMPWORLD-issue-4.csv"
                },
                "trump-world-trust/TRUMPWORLD-issue-1": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/what-the-world-thinks-of-trump/\">What The World Thinks Of Trump</a>.</p>\n<p>Two of the datasets concern the share of different countries' populations that:</p>\n<ul>\n<li>Have a favorable view of the U.S. (<code>TRUMPWORLD-us.csv</code>)</li>\n<li>Trust the U.S. president when it comes to world affairs (<code>TRUMPWORLD-pres.csv</code>)</li>\n</ul>\n<p>The other five are approval ratings across countries for five of President Trump's proposed policies:</p>\n<ul>\n<li>Withdraw support for international climate change agreements (<code>TRUMPWORLD-issue-1.csv</code>)</li>\n<li>Build a wall on the border between the U. S. and Mexico (<code>TRUMPWORLD-issue-2.csv</code>)</li>\n<li>Withdraw U.S. support from the Iran nuclear weapons agreement (<code>TRUMPWORLD-issue-3.csv</code>)</li>\n<li>Withdraw U.S. support for major trade agreements (<code>TRUMPWORLD-issue-4.csv</code>)</li>\n<li>Introduce tighter restrictions on those entering the U.S. from some majority-Muslim countries (<code>TRUMPWORLD-issue-5.csv</code>)</li>\n</ul>\n<p>Source: <a href=\"http://www.pewresearch.org/fact-tank/2017/07/17/9-charts-on-how-the-world-sees-trump/\">Pew Research Center</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/trump-world-trust/TRUMPWORLD-issue-1.csv",
                    "title": "Trump World Trust: TRUMPWORLD-issue-1.csv"
                },
                "trump-world-trust/TRUMPWORLD-issue-5": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/what-the-world-thinks-of-trump/\">What The World Thinks Of Trump</a>.</p>\n<p>Two of the datasets concern the share of different countries' populations that:</p>\n<ul>\n<li>Have a favorable view of the U.S. (<code>TRUMPWORLD-us.csv</code>)</li>\n<li>Trust the U.S. president when it comes to world affairs (<code>TRUMPWORLD-pres.csv</code>)</li>\n</ul>\n<p>The other five are approval ratings across countries for five of President Trump's proposed policies:</p>\n<ul>\n<li>Withdraw support for international climate change agreements (<code>TRUMPWORLD-issue-1.csv</code>)</li>\n<li>Build a wall on the border between the U. S. and Mexico (<code>TRUMPWORLD-issue-2.csv</code>)</li>\n<li>Withdraw U.S. support from the Iran nuclear weapons agreement (<code>TRUMPWORLD-issue-3.csv</code>)</li>\n<li>Withdraw U.S. support for major trade agreements (<code>TRUMPWORLD-issue-4.csv</code>)</li>\n<li>Introduce tighter restrictions on those entering the U.S. from some majority-Muslim countries (<code>TRUMPWORLD-issue-5.csv</code>)</li>\n</ul>\n<p>Source: <a href=\"http://www.pewresearch.org/fact-tank/2017/07/17/9-charts-on-how-the-world-sees-trump/\">Pew Research Center</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/trump-world-trust/TRUMPWORLD-issue-5.csv",
                    "title": "Trump World Trust: TRUMPWORLD-issue-5.csv"
                },
                "trump-world-trust/TRUMPWORLD-issue-2": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/what-the-world-thinks-of-trump/\">What The World Thinks Of Trump</a>.</p>\n<p>Two of the datasets concern the share of different countries' populations that:</p>\n<ul>\n<li>Have a favorable view of the U.S. (<code>TRUMPWORLD-us.csv</code>)</li>\n<li>Trust the U.S. president when it comes to world affairs (<code>TRUMPWORLD-pres.csv</code>)</li>\n</ul>\n<p>The other five are approval ratings across countries for five of President Trump's proposed policies:</p>\n<ul>\n<li>Withdraw support for international climate change agreements (<code>TRUMPWORLD-issue-1.csv</code>)</li>\n<li>Build a wall on the border between the U. S. and Mexico (<code>TRUMPWORLD-issue-2.csv</code>)</li>\n<li>Withdraw U.S. support from the Iran nuclear weapons agreement (<code>TRUMPWORLD-issue-3.csv</code>)</li>\n<li>Withdraw U.S. support for major trade agreements (<code>TRUMPWORLD-issue-4.csv</code>)</li>\n<li>Introduce tighter restrictions on those entering the U.S. from some majority-Muslim countries (<code>TRUMPWORLD-issue-5.csv</code>)</li>\n</ul>\n<p>Source: <a href=\"http://www.pewresearch.org/fact-tank/2017/07/17/9-charts-on-how-the-world-sees-trump/\">Pew Research Center</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/trump-world-trust/TRUMPWORLD-issue-2.csv",
                    "title": "Trump World Trust: TRUMPWORLD-issue-2.csv"
                },
                "trump-world-trust/TRUMPWORLD-pres": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/what-the-world-thinks-of-trump/\">What The World Thinks Of Trump</a>.</p>\n<p>Two of the datasets concern the share of different countries' populations that:</p>\n<ul>\n<li>Have a favorable view of the U.S. (<code>TRUMPWORLD-us.csv</code>)</li>\n<li>Trust the U.S. president when it comes to world affairs (<code>TRUMPWORLD-pres.csv</code>)</li>\n</ul>\n<p>The other five are approval ratings across countries for five of President Trump's proposed policies:</p>\n<ul>\n<li>Withdraw support for international climate change agreements (<code>TRUMPWORLD-issue-1.csv</code>)</li>\n<li>Build a wall on the border between the U. S. and Mexico (<code>TRUMPWORLD-issue-2.csv</code>)</li>\n<li>Withdraw U.S. support from the Iran nuclear weapons agreement (<code>TRUMPWORLD-issue-3.csv</code>)</li>\n<li>Withdraw U.S. support for major trade agreements (<code>TRUMPWORLD-issue-4.csv</code>)</li>\n<li>Introduce tighter restrictions on those entering the U.S. from some majority-Muslim countries (<code>TRUMPWORLD-issue-5.csv</code>)</li>\n</ul>\n<p>Source: <a href=\"http://www.pewresearch.org/fact-tank/2017/07/17/9-charts-on-how-the-world-sees-trump/\">Pew Research Center</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/trump-world-trust/TRUMPWORLD-pres.csv",
                    "title": "Trump World Trust: TRUMPWORLD-pres.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "trump-world-trust/TRUMPWORLD-us": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/what-the-world-thinks-of-trump/\">What The World Thinks Of Trump</a>.</p>\n<p>Two of the datasets concern the share of different countries' populations that:</p>\n<ul>\n<li>Have a favorable view of the U.S. (<code>TRUMPWORLD-us.csv</code>)</li>\n<li>Trust the U.S. president when it comes to world affairs (<code>TRUMPWORLD-pres.csv</code>)</li>\n</ul>\n<p>The other five are approval ratings across countries for five of President Trump's proposed policies:</p>\n<ul>\n<li>Withdraw support for international climate change agreements (<code>TRUMPWORLD-issue-1.csv</code>)</li>\n<li>Build a wall on the border between the U. S. and Mexico (<code>TRUMPWORLD-issue-2.csv</code>)</li>\n<li>Withdraw U.S. support from the Iran nuclear weapons agreement (<code>TRUMPWORLD-issue-3.csv</code>)</li>\n<li>Withdraw U.S. support for major trade agreements (<code>TRUMPWORLD-issue-4.csv</code>)</li>\n<li>Introduce tighter restrictions on those entering the U.S. from some majority-Muslim countries (<code>TRUMPWORLD-issue-5.csv</code>)</li>\n</ul>\n<p>Source: <a href=\"http://www.pewresearch.org/fact-tank/2017/07/17/9-charts-on-how-the-world-sees-trump/\">Pew Research Center</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/trump-world-trust/TRUMPWORLD-us.csv",
                    "title": "Trump World Trust: TRUMPWORLD-us.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "nba-tattoos/nba-tattoos-data": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/what-ethan-swan-learned-from-tracking-every-tattoo-in-the-nba/\">What Ethan Swan Learned From Tracking Every Tattoo in the NBA</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nba-tattoos/nba-tattoos-data.csv",
                    "title": "NBA Tattoos: nba-tattoos-data.csv"
                },
                "mlb-allstar-teams/allstar_player_talent": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/the-best-mlb-all-star-teams-ever/\">The Best MLB All-Star Teams Ever</a>.</p>\n<p>Estimates of most talented MLB All-Star teams, 1933-2015</p>\n<p><code>allstar_team_talent.csv</code> contains team talent estimates with the following headers:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>yearID</code></td>\n<td>The season in question</td>\n</tr>\n<tr>\n<td><code>gameNum</code></td>\n<td>Order of All-Star Game for the season (in years w/ multiple ASGs; set to 0 when only 1 per year)</td>\n</tr>\n<tr>\n<td><code>gameID</code></td>\n<td>Game ID at Baseball-Reference.com</td>\n</tr>\n<tr>\n<td><code>lgID</code></td>\n<td>League of All-Star team</td>\n</tr>\n<tr>\n<td><code>tm_OFF_talent</code></td>\n<td>Total runs of offensive talent above average per game (36 plate appearances)</td>\n</tr>\n<tr>\n<td><code>tm_DEF_talent</code></td>\n<td>Total runs of fielding talent above average per game (36 plate appearances)</td>\n</tr>\n<tr>\n<td><code>tm_PIT_talent</code></td>\n<td>Total runs of pitching talent above average per game (9 innings)</td>\n</tr>\n<tr>\n<td><code>MLB_avg_RPG</code></td>\n<td>MLB average runs scored/game that season</td>\n</tr>\n<tr>\n<td><code>talent_RSPG</code></td>\n<td>Expected runs scored per game based on talent (MLB R/G + team OFF talent)</td>\n</tr>\n<tr>\n<td><code>talent_RAPG</code></td>\n<td>Expected runs allowed per game based on talent (MLB R/G - team DEF talent- team PIT talent)</td>\n</tr>\n<tr>\n<td><code>unadj_PYTH</code></td>\n<td>Unadjusted pythagorean talent rating; PYTH =(RSPG^1.83)/(RSPG^1.83+RAPG^1.83)</td>\n</tr>\n<tr>\n<td><code>timeline_adj</code></td>\n<td>Estimate of relative league quality where 2015 MLB = 1.00</td>\n</tr>\n<tr>\n<td><code>SOS</code></td>\n<td>Strength of schedule faced; adjusts an assumed .500 SOS downward based on timeline adjustment</td>\n</tr>\n<tr>\n<td><code>adj_PYTH</code></td>\n<td>Adjusted pythagorean record; =(SOS<em>unadj_Pyth)/((2</em>unadj_Pyth*SOS)-SOS-unadj_Pyth+1)</td>\n</tr>\n<tr>\n<td><code>no_1_player</code></td>\n<td>Best player according to combo of actual PA/IP and talent</td>\n</tr>\n<tr>\n<td><code>no_2_player</code></td>\n<td>2nd-best player according to combo of actual PA/IP and talent</td>\n</tr>\n</tbody>\n</table>\n<p><code>allstar_player_talent.csv</code> contains team player estimates with the following headers:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>bbref_ID</code></td>\n<td>Player's ID at Baseball-Reference.com</td>\n</tr>\n<tr>\n<td><code>yearID</code></td>\n<td>The season in question</td>\n</tr>\n<tr>\n<td><code>gameNum</code></td>\n<td>Order of All-Star Game for the season (in years w/ multiple ASGs; set to 0 when only 1 per year)</td>\n</tr>\n<tr>\n<td><code>gameID</code></td>\n<td>Game ID at Baseball-Reference.com</td>\n</tr>\n<tr>\n<td><code>lgID</code></td>\n<td>League of All-Star team</td>\n</tr>\n<tr>\n<td><code>startingPos</code></td>\n<td>Postion (according to baseball convention; 1=pitcher, 2=catcher, etc.) if starter</td>\n</tr>\n<tr>\n<td><code>OFF600</code></td>\n<td>Estimate of offensive talent, in runs above league average per 600 plate appearances</td>\n</tr>\n<tr>\n<td><code>DEF600</code></td>\n<td>Estimate of fielding talent, in runs above league average per 600 plate appearances</td>\n</tr>\n<tr>\n<td><code>PITCH200</code></td>\n<td>Estimate of pitching talent, in runs above league average per 200 innings pitched</td>\n</tr>\n<tr>\n<td><code>asg_PA</code></td>\n<td>Number of plate appearances in the All-Star Game itself</td>\n</tr>\n<tr>\n<td><code>asg_IP</code></td>\n<td>Number of innings pitched in the All-Star Game itself</td>\n</tr>\n<tr>\n<td><code>OFFper9innASG</code></td>\n<td>Expected offensive runs added above average (from talent) based on PA in ASG, scaled to a 9-inning game</td>\n</tr>\n<tr>\n<td><code>DEFper9innASG</code></td>\n<td>Expected defensive runs added above average (from talent) based on PA in ASG, scaled to a 9-inning game</td>\n</tr>\n<tr>\n<td><code>PITper9innASG</code></td>\n<td>Expected pitching runs added above average (from talent) based on IP in ASG, scaled to a 9-inning game</td>\n</tr>\n<tr>\n<td><code>TOTper9innASG</code></td>\n<td>Expected runs added above average (from talent) based on PA/IP in ASG, scaled to a 9-inning game</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/mlb-allstar-teams/allstar_player_talent.csv",
                    "title": "MLB All-Star Teams: allstar_player_talent.csv"
                },
                "mlb-allstar-teams/allstar_team_talent": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/the-best-mlb-all-star-teams-ever/\">The Best MLB All-Star Teams Ever</a>.</p>\n<p>Estimates of most talented MLB All-Star teams, 1933-2015</p>\n<p><code>allstar_team_talent.csv</code> contains team talent estimates with the following headers:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>yearID</code></td>\n<td>The season in question</td>\n</tr>\n<tr>\n<td><code>gameNum</code></td>\n<td>Order of All-Star Game for the season (in years w/ multiple ASGs; set to 0 when only 1 per year)</td>\n</tr>\n<tr>\n<td><code>gameID</code></td>\n<td>Game ID at Baseball-Reference.com</td>\n</tr>\n<tr>\n<td><code>lgID</code></td>\n<td>League of All-Star team</td>\n</tr>\n<tr>\n<td><code>tm_OFF_talent</code></td>\n<td>Total runs of offensive talent above average per game (36 plate appearances)</td>\n</tr>\n<tr>\n<td><code>tm_DEF_talent</code></td>\n<td>Total runs of fielding talent above average per game (36 plate appearances)</td>\n</tr>\n<tr>\n<td><code>tm_PIT_talent</code></td>\n<td>Total runs of pitching talent above average per game (9 innings)</td>\n</tr>\n<tr>\n<td><code>MLB_avg_RPG</code></td>\n<td>MLB average runs scored/game that season</td>\n</tr>\n<tr>\n<td><code>talent_RSPG</code></td>\n<td>Expected runs scored per game based on talent (MLB R/G + team OFF talent)</td>\n</tr>\n<tr>\n<td><code>talent_RAPG</code></td>\n<td>Expected runs allowed per game based on talent (MLB R/G - team DEF talent- team PIT talent)</td>\n</tr>\n<tr>\n<td><code>unadj_PYTH</code></td>\n<td>Unadjusted pythagorean talent rating; PYTH =(RSPG^1.83)/(RSPG^1.83+RAPG^1.83)</td>\n</tr>\n<tr>\n<td><code>timeline_adj</code></td>\n<td>Estimate of relative league quality where 2015 MLB = 1.00</td>\n</tr>\n<tr>\n<td><code>SOS</code></td>\n<td>Strength of schedule faced; adjusts an assumed .500 SOS downward based on timeline adjustment</td>\n</tr>\n<tr>\n<td><code>adj_PYTH</code></td>\n<td>Adjusted pythagorean record; =(SOS<em>unadj_Pyth)/((2</em>unadj_Pyth*SOS)-SOS-unadj_Pyth+1)</td>\n</tr>\n<tr>\n<td><code>no_1_player</code></td>\n<td>Best player according to combo of actual PA/IP and talent</td>\n</tr>\n<tr>\n<td><code>no_2_player</code></td>\n<td>2nd-best player according to combo of actual PA/IP and talent</td>\n</tr>\n</tbody>\n</table>\n<p><code>allstar_player_talent.csv</code> contains team player estimates with the following headers:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>bbref_ID</code></td>\n<td>Player's ID at Baseball-Reference.com</td>\n</tr>\n<tr>\n<td><code>yearID</code></td>\n<td>The season in question</td>\n</tr>\n<tr>\n<td><code>gameNum</code></td>\n<td>Order of All-Star Game for the season (in years w/ multiple ASGs; set to 0 when only 1 per year)</td>\n</tr>\n<tr>\n<td><code>gameID</code></td>\n<td>Game ID at Baseball-Reference.com</td>\n</tr>\n<tr>\n<td><code>lgID</code></td>\n<td>League of All-Star team</td>\n</tr>\n<tr>\n<td><code>startingPos</code></td>\n<td>Postion (according to baseball convention; 1=pitcher, 2=catcher, etc.) if starter</td>\n</tr>\n<tr>\n<td><code>OFF600</code></td>\n<td>Estimate of offensive talent, in runs above league average per 600 plate appearances</td>\n</tr>\n<tr>\n<td><code>DEF600</code></td>\n<td>Estimate of fielding talent, in runs above league average per 600 plate appearances</td>\n</tr>\n<tr>\n<td><code>PITCH200</code></td>\n<td>Estimate of pitching talent, in runs above league average per 200 innings pitched</td>\n</tr>\n<tr>\n<td><code>asg_PA</code></td>\n<td>Number of plate appearances in the All-Star Game itself</td>\n</tr>\n<tr>\n<td><code>asg_IP</code></td>\n<td>Number of innings pitched in the All-Star Game itself</td>\n</tr>\n<tr>\n<td><code>OFFper9innASG</code></td>\n<td>Expected offensive runs added above average (from talent) based on PA in ASG, scaled to a 9-inning game</td>\n</tr>\n<tr>\n<td><code>DEFper9innASG</code></td>\n<td>Expected defensive runs added above average (from talent) based on PA in ASG, scaled to a 9-inning game</td>\n</tr>\n<tr>\n<td><code>PITper9innASG</code></td>\n<td>Expected pitching runs added above average (from talent) based on IP in ASG, scaled to a 9-inning game</td>\n</tr>\n<tr>\n<td><code>TOTper9innASG</code></td>\n<td>Expected runs added above average (from talent) based on PA/IP in ASG, scaled to a 9-inning game</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/mlb-allstar-teams/allstar_team_talent.csv",
                    "title": "MLB All-Star Teams: allstar_team_talent.csv"
                },
                "covid-geography/mmsa-icu-beds": {
                    "description_html": "<p>This table contains the data behind the story <a href=\"https://fivethirtyeight.com/features/how-one-high-risk-community-in-rural-south-carolina-is-bracing-for-covid-19/\">How One High-Risk Community In Rural South Carolina Is Bracing For COVID-19</a>.</p>\n<p><code>mmsa-icu-beds.csv</code> combines data from the Centers for Disease Control and Prevention\u2019s <a href=\"https://www.cdc.gov/brfss/smart/smart_2017.html\">Behavioral Risk Factor Surveillance System (BRFSS)</a>, a collection of health-related surveys conducted each year of more than 400,000 Americans, and the <a href=\"https://khn.org/news/as-coronavirus-spreads-widely-millions-of-older-americans-live-in-counties-with-no-icu-beds/#lookup\">Kaiser Family Foundation</a> to show the number of people who are at high risk of becoming seriously ill from COVID-19 per ICU bed in each metropolitan area, micropolitan area or metropolitan division for which we have data.</p>\n<p>Being high risk is defined by a number of health conditions and behaviors. Based on the CDC\u2019s <a href=\"https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-at-higher-risk.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fspecific-groups%2Fpeople-at-higher-risk.html\">list of the relevant underlying conditions</a> that put people at higher risk of serious illness from COVID-19, plus the advice of experts from the Cleveland Clinic, the American Lung Association and the American Heart Association, we counted people as at risk if they\u2019re 65 or older; if they have ever been told they have hypertension, coronary heart disease, a myocardial infarction, angina, a stroke, chronic kidney disease, chronic obstructive pulmonary disease, emphysema, chronic bronchitis or diabetes; if they currently have asthma or a BMI over 40; if they smoke cigarettes every day or some days or use e-cigarettes or vaping products every day or some days; or if they\u2019re currently pregnant. We included every individual who meets at least one of these conditions but counted them only once each, so anyone with multiple conditions doesn\u2019t get counted multiple times. We were not able to include a number of conditions for which we did not have location-based data from the BRFSS, such as liver disease, having smoked, vaped or dabbed marijuana in the last 30 days, and getting cancer treatment or being on immunosuppression medications.</p>\n<table>\n<thead>\n<tr>\n<th>Column</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>MMSA</code></td>\n<td>The name of the metropolitan area, micropolitan area or metropolitan division available in the CDC\u2019s BRFSS</td>\n</tr>\n<tr>\n<td><code>total_percent_at_risk</code></td>\n<td>The percent of individuals in that area that are at high risk of becoming seriously ill from COVID-19, per CDC\u2019s BRFSS</td>\n</tr>\n<tr>\n<td><code>high_risk_per_icu_bed</code></td>\n<td>The number of high risk individuals per ICU bed in that area</td>\n</tr>\n<tr>\n<td><code>high_risk_per_hospital</code></td>\n<td>The number of high risk individuals per hospital in that area</td>\n</tr>\n<tr>\n<td><code>icu_beds</code></td>\n<td>The number of ICU beds in the area, based on the Kaiser Family Foundation\u2019s data</td>\n</tr>\n<tr>\n<td><code>hospitals</code></td>\n<td>The number of hospitals in the area, based on the Kaiser Family Foundation\u2019s data</td>\n</tr>\n<tr>\n<td><code>total_at_risk</code></td>\n<td>The total number of high risk individuals in the area, per CDC\u2019s BRFSS</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/covid-geography/mmsa-icu-beds.csv",
                    "title": "covid-geography: mmsa-icu-beds.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "obama-commutations/obama_commutations": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/features/obama-granted-clemency-unlike-any-other-president-in-history/\">Obama Granted Clemency Unlike Any Other President In History</a>.</p>\n<p>The data in <code>obama_commutations.csv</code> is copied from the Justice Department website. The python script parses it by looking at the first column to figure out what is contained in the second column.</p>\n<p>Source: <a href=\"https://www.justice.gov/pardon/obama-commutations\">Department of Justice</a></p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/obama-commutations/obama_commutations.csv",
                    "title": "Obama Commutation: obama_commutations.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "historical-ncaa-forecasts/historical-538-ncaa-tournament-model-results": {
                    "description_html": "<p>This table contains data behind the story <a href=\"https://fivethirtyeight.com/datalab/the-ncaa-bracket-checking-our-work\">The NCAA Bracket: Checking Our Work</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/historical-ncaa-forecasts/historical-538-ncaa-tournament-model-results.csv",
                    "title": "NCAA Bracket: historical-538-ncaa-tournament-model-results.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "nba-draft-2015/historical_projections": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/features/projecting-the-top-50-players-in-the-2015-nba-draft-class/\">Projecting The Top 50 Players In The 2015 NBA Draft Class</a>.</p>\n<p><code>historical_projections.csv</code> contains historical results of the NBA draft projection model, 2001-2015.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Player</code></td>\n<td>Player name</td>\n</tr>\n<tr>\n<td><code>Position</code></td>\n<td>The player's position going into the draft</td>\n</tr>\n<tr>\n<td><code>ID</code></td>\n<td>The player's identification code</td>\n</tr>\n<tr>\n<td><code>Draft Year</code></td>\n<td>The year the player was eligible for the NBA draft</td>\n</tr>\n<tr>\n<td><code>Projected SPM</code></td>\n<td>The model's projected statistical plus/minus over years 2-5 of the player's NBA career</td>\n</tr>\n<tr>\n<td><code>Superstar</code></td>\n<td>Probability of becoming a superstar player (1 per draft, SPM &gt;= +3.3)</td>\n</tr>\n<tr>\n<td><code>Starter</code></td>\n<td>Probability of becoming a starting-caliber player (10 per draft, SPM &gt;= +0.5)</td>\n</tr>\n<tr>\n<td><code>Role Player</code></td>\n<td>Probability of becoming a role player (25 per draft, SPM &gt;= -1.4)</td>\n</tr>\n<tr>\n<td><code>Bust</code></td>\n<td>Probability of becoming a bust (everyone else, SPM &lt; -1.4)</td>\n</tr>\n</tbody>\n</table>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/nba-draft-2015/historical_projections.csv",
                    "title": "NBA Draft 2015: historical_projections.csv"
                },
                "flying-etiquette-survey/flying-etiquette": {
                    "description_html": "<p>This table contains data behind the story <a href=\"http://fivethirtyeight.com/datalab/airplane-etiquette-recline-seat\">41 Percent of Fliers Say It\u2019s Rude To Recline Your Airplane Seat</a>.</p>\n<p><code>flying-etiquette.csv</code> contains the results of a SurveyMonkey survey commissioned by FiveThirtyEight for the story.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/flying-etiquette-survey/flying-etiquette.csv",
                    "title": "Flying Etiquette Survey: flying-etiquette.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "mad-men/show-data": {
                    "description_html": "<p>This directory contains the data behind the story <a href=\"http://fivethirtyeight.com/datalab/mad-men-is-ending-whats-next-for-the-cast/\">\u2018Mad Men\u2019 Is Ending. What\u2019s Next For The Cast?</a></p>\n<p>The primary file <code>show-data.csv</code> contains data of actors who appeared on at least half the episodes of television shows that were nominated for an Emmy for Outstanding Drama since the year 2000. It contains the following variables:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Performer</code></td>\n<td>The name of the actor, according to IMDb. This is not a unique identifier - two performers appeared in more than one program</td>\n</tr>\n<tr>\n<td><code>Show</code></td>\n<td>The television show where this actor appeared in more than half the episodes</td>\n</tr>\n<tr>\n<td><code>Show Start</code></td>\n<td>The year the television show began</td>\n</tr>\n<tr>\n<td><code>Show End</code></td>\n<td>The year the television show ended, \"PRESENT\" if the show remains on the air as of May 10.</td>\n</tr>\n<tr>\n<td><code>Status?</code></td>\n<td>Why the actor is no longer on the program:  \"END\" if the show has concluded, \"LEFT\" if the show remains on the air.</td>\n</tr>\n<tr>\n<td><code>CharEnd</code></td>\n<td>The year the character left the show. Equal to \"Show End\" if the performer stayed on until the final season.</td>\n</tr>\n<tr>\n<td><code>Years Since</code></td>\n<td>2015 minus CharEnd</td>\n</tr>\n<tr>\n<td><code>#LEAD</code></td>\n<td>The number of leading roles in films the performer has appeared in since and including \"CharEnd\", according to OpusData</td>\n</tr>\n<tr>\n<td><code>#SUPPORT</code></td>\n<td>The number of leading roles in films the performer has appeared in since and including \"CharEnd\", according to OpusData</td>\n</tr>\n<tr>\n<td><code>#Shows</code></td>\n<td>The number of seasons of television of which the performer appeared in at least half the episodes since and including \"CharEnd\", according to OpusData</td>\n</tr>\n<tr>\n<td><code>Score</code></td>\n<td>#LEAD + #Shows + 0.25*(#SUPPORT)</td>\n</tr>\n<tr>\n<td><code>Score/Y</code></td>\n<td>\"Score\" divided by \"Years Since\"</td>\n</tr>\n<tr>\n<td><code>lead_notes</code></td>\n<td>The list of films  counted in #LEAD</td>\n</tr>\n<tr>\n<td><code>support_notes</code></td>\n<td>The list of films  counted in #SUPPORT</td>\n</tr>\n<tr>\n<td><code>show_notes</code></td>\n<td>The seasons of shows counted in #Shows</td>\n</tr>\n</tbody>\n</table>\n<p>The supplemental file <code>performer-scores.csv</code> is the consolidated data from <code>show-data.csv</code> made into a pivot table.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/mad-men/show-data.csv",
                    "title": "Mad Men: show-data.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "mad-men/performer-scores": {
                    "description_html": "<p>This directory contains the data behind the story <a href=\"http://fivethirtyeight.com/datalab/mad-men-is-ending-whats-next-for-the-cast/\">\u2018Mad Men\u2019 Is Ending. What\u2019s Next For The Cast?</a></p>\n<p>The primary file <code>show-data.csv</code> contains data of actors who appeared on at least half the episodes of television shows that were nominated for an Emmy for Outstanding Drama since the year 2000. It contains the following variables:</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Performer</code></td>\n<td>The name of the actor, according to IMDb. This is not a unique identifier - two performers appeared in more than one program</td>\n</tr>\n<tr>\n<td><code>Show</code></td>\n<td>The television show where this actor appeared in more than half the episodes</td>\n</tr>\n<tr>\n<td><code>Show Start</code></td>\n<td>The year the television show began</td>\n</tr>\n<tr>\n<td><code>Show End</code></td>\n<td>The year the television show ended, \"PRESENT\" if the show remains on the air as of May 10.</td>\n</tr>\n<tr>\n<td><code>Status?</code></td>\n<td>Why the actor is no longer on the program:  \"END\" if the show has concluded, \"LEFT\" if the show remains on the air.</td>\n</tr>\n<tr>\n<td><code>CharEnd</code></td>\n<td>The year the character left the show. Equal to \"Show End\" if the performer stayed on until the final season.</td>\n</tr>\n<tr>\n<td><code>Years Since</code></td>\n<td>2015 minus CharEnd</td>\n</tr>\n<tr>\n<td><code>#LEAD</code></td>\n<td>The number of leading roles in films the performer has appeared in since and including \"CharEnd\", according to OpusData</td>\n</tr>\n<tr>\n<td><code>#SUPPORT</code></td>\n<td>The number of leading roles in films the performer has appeared in since and including \"CharEnd\", according to OpusData</td>\n</tr>\n<tr>\n<td><code>#Shows</code></td>\n<td>The number of seasons of television of which the performer appeared in at least half the episodes since and including \"CharEnd\", according to OpusData</td>\n</tr>\n<tr>\n<td><code>Score</code></td>\n<td>#LEAD + #Shows + 0.25*(#SUPPORT)</td>\n</tr>\n<tr>\n<td><code>Score/Y</code></td>\n<td>\"Score\" divided by \"Years Since\"</td>\n</tr>\n<tr>\n<td><code>lead_notes</code></td>\n<td>The list of films  counted in #LEAD</td>\n</tr>\n<tr>\n<td><code>support_notes</code></td>\n<td>The list of films  counted in #SUPPORT</td>\n</tr>\n<tr>\n<td><code>show_notes</code></td>\n<td>The seasons of shows counted in #Shows</td>\n</tr>\n</tbody>\n</table>\n<p>The supplemental file <code>performer-scores.csv</code> is the consolidated data from <code>show-data.csv</code> made into a pivot table.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/mad-men/performer-scores.csv",
                    "title": "Mad Men: performer-scores.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "world-cup-predictions/wc-20140617-091836": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140617-091836.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140617-091836.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "world-cup-predictions/wc-20140704-180211": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140704-180211.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140704-180211.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "world-cup-predictions/wc-20140626-180150": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140626-180150.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140626-180150.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "world-cup-predictions/wc-20140618-175722": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140618-175722.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140618-175722.csv"
                },
                "world-cup-predictions/wc-20140628-185951": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140628-185951.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140628-185951.csv"
                },
                "world-cup-predictions/wc-20140713-113900": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140713-113900.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140713-113900.csv"
                },
                "world-cup-predictions/wc-20140628-094211": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140628-094211.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140628-094211.csv"
                },
                "world-cup-predictions/wc-20140708-092538": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140708-092538.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140708-092538.csv"
                },
                "world-cup-predictions/wc-20140612-094254": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140612-094254.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140612-094254.csv"
                },
                "world-cup-predictions/wc-20140710-164509": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140710-164509.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140710-164509.csv"
                },
                "world-cup-predictions/wc-20140628-215357": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140628-215357.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140628-215357.csv"
                },
                "world-cup-predictions/wc-20140622-091255": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140622-091255.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140622-091255.csv"
                },
                "world-cup-predictions/wc-20140614-091756": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140614-091756.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140614-091756.csv"
                },
                "world-cup-predictions/wc-20140614-210740": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140614-210740.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140614-210740.csv"
                },
                "world-cup-predictions/wc-20140629-225940": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140629-225940.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140629-225940.csv"
                },
                "world-cup-predictions/wc-20140706-091537": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140706-091537.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140706-091537.csv"
                },
                "world-cup-predictions/wc-20140623-095120": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140623-095120.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140623-095120.csv"
                },
                "world-cup-predictions/wc-20140618-210231": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140618-210231.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140618-210231.csv",
                    "source": "fivethirtyeight/data on GitHub",
                    "license": "CC Attribution 4.0 License",
                    "license_url": "https://creativecommons.org/licenses/by/4.0/",
                    "about": "simonw/fivethirtyeight-datasette",
                    "about_url": "https://github.com/simonw/fivethirtyeight-datasette"
                },
                "world-cup-predictions/wc-20140618-235413": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td><code>spi_offense</code></td>\n<td>Soccer Power Index offensive rating</td>\n</tr>\n<tr>\n<td><code>spi_defense</code></td>\n<td>Soccer Power Index defensive rating</td>\n</tr>\n<tr>\n<td><code>win_group</code></td>\n<td>Change of coming in first place in the group stage</td>\n</tr>\n<tr>\n<td><code>sixteen</code></td>\n<td>Chance of advancing to the knockout stage</td>\n</tr>\n<tr>\n<td><code>quarter</code></td>\n<td>Chance of advancing to the quarter finals</td>\n</tr>\n<tr>\n<td><code>semi</code></td>\n<td>Chance of advancing to the semi-finals</td>\n</tr>\n<tr>\n<td><code>cup</code></td>\n<td>Chance of making it to the final game</td>\n</tr>\n<tr>\n<td><code>win</code></td>\n<td>Chance of winning the whole thing</td>\n</tr>\n</tbody>\n</table>\n<p><strong>Note:</strong> Projections from June 27 onward reflect an <a href=\"http://fivethirtyeight.com/datalab/extra-time-isnt-a-crapshoot-in-the-knockout-round-but-penalties-are/\">improvement to FiveThirtyEight's methodology for projecting knockout-round results</a> that estimates each team's probability of winning in extra time based on its SPI ratings. Projections prior to June 27 instead split all extra-time games 50-50.</p>\n<p>For the World Cup predictions interactive, <a href=\"http://fivethirtyeight.com/interactives/world-cup/\">click here</a>.</p>\n<p>For an explanation of SPI, <a href=\"http://fivethirtyeight.com/features/its-brazils-world-cup-to-lose/\">click here</a>.</p>",
                    "source_url": "https://github.com/fivethirtyeight/data/blob/master/world-cup-predictions/wc-20140618-235413.csv",
                    "title": "2014 World Cup Tournament Predictions: wc-20140618-235413.csv"
                },
                "world-cup-predictions/wc-20140620-205534": {
                    "description_html": "<p>FiveThirtyEight's forecasts for the 2014 World Cup, including each team's SPI rating and chance of advancing, updated throughout the course of the tournment. The date and time of each update are indicated in the file name: <code>wc-YYYYMMDD-HHMMSS.csv</code>. All times are in GMT.</p>\n<table>\n<thead>\n<tr>\n<th>Header</th>\n<th>Definition</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>spi</code></td>\n<td>Soccer Power Index</td>\n</tr>\n<tr>\n<td>&l