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fivethirtyeight

Data license: CC Attribution 4.0 License · Data source: fivethirtyeight/data on GitHub

Custom SQL query

./index

dataset_url, article_url, live

147 rows

ahca-polls/ahca_polls

Start, End, Pollster, Favor, Oppose, Url, Text

15 rows

airline-safety/airline-safety

airline, avail_seat_km_per_week, incidents_85_99, fatal_accidents_85_99, fatalities_85_99, incidents_00_14, fatal_accidents_00_14, fatalities_00_14

56 rows

alcohol-consumption/drinks

country, beer_servings, spirit_servings, wine_servings, total_litres_of_pure_alcohol

193 rows

antiquities-act/actions_under_antiquities_act

current_name, states, original_name, current_agency, action, date, year, pres_or_congress, acres_affected

344 rows

august-senate-polls/august_senate_polls

cycle, state, senate_class, start_date, end_date, DEM_poll, REP_poll, DEM_result, REP_result...

594 rows

avengers/avengers

URL, Name/Alias, Appearances, Current?, Gender, Probationary Introl, Full/Reserve Avengers Intro, Year, Years since joining...

173 rows

bachelorette/bachelorette

SHOW, SEASON, CONTESTANT, ELIMINATION-1, ELIMINATION-2, ELIMINATION-3, ELIMINATION-4, ELIMINATION-5, ELIMINATION-6...

921 rows

bad-drivers/bad-drivers

State, Number of drivers involved in fatal collisions per billion miles, Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding, Percentage Of Drivers Involved In Fatal Collisions Who Were Alcohol-Impaired, Percentage Of Drivers Involved In Fatal Collisions Who Were Not Distracted, Percentage Of Drivers Involved In Fatal Collisions Who Had Not Been Involved In Any Previous Accidents, Car Insurance Premiums ($), Losses incurred by insurance companies for collisions per insured driver ($)

51 rows

bechdel/movies

year, imdb, title, test, clean_test, binary, budget, domgross, intgross...

1,794 rows

biopics/biopics

title, site, country, year_release, box_office, director, number_of_subjects, subject, type_of_subject...

761 rows

births/US_births_1994-2003_CDC_NCHS

year, month, date_of_month, day_of_week, births

3,652 rows

births/US_births_2000-2014_SSA

year, month, date_of_month, day_of_week, births

5,479 rows

bob-ross/elements-by-episode

EPISODE, TITLE, APPLE_FRAME, AURORA_BOREALIS, BARN, BEACH, BOAT, BRIDGE, BUILDING...

403 rows

candy-power-ranking/candy-data

competitorname, chocolate, fruity, caramel, peanutyalmondy, nougat, crispedricewafer, hard, bar...

85 rows

chess-transfers/transfers

url, ID, Federation, Form.Fed, Transfer Date

932 rows

classic-rock/classic-rock-song-list

Song Clean, ARTIST CLEAN, Release Year, COMBINED, First?, Year?, PlayCount, F*G

2,229 rows

college-majors/all-ages

Major_code, Major, Major_category, Total, Employed, Employed_full_time_year_round, Unemployed, Unemployment_rate, Median...

173 rows

college-majors/grad-students

Major_code, Major, Major_category, Grad_total, Grad_sample_size, Grad_employed, Grad_full_time_year_round, Grad_unemployed, Grad_unemployment_rate...

173 rows

college-majors/majors-list

FOD1P, Major, Major_Category

174 rows

college-majors/recent-grads

Rank, Major_code, Major, Total, Men, Women, Major_category, ShareWomen, Sample_size...

173 rows

college-majors/women-stem

Rank, Major_code, Major, Major_category, Total, Men, Women, ShareWomen, Median

76 rows

comic-characters/dc-wikia-data

page_id, name, urlslug, ID, ALIGN, EYE, HAIR, SEX, GSM...

6,896 rows

comic-characters/marvel-wikia-data

page_id, name, urlslug, ID, ALIGN, EYE, HAIR, SEX, GSM...

16,376 rows

comma-survey/comma-survey

RespondentID, In your opinion, which sentence is more gramatically correct?, Prior to reading about it above, had you heard of the serial (or Oxford) comma?, How much, if at all, do you care about the use (or lack thereof) of the serial (or Oxford) comma in grammar?, How would you write the following sentence?, When faced with using the word "data", have you ever spent time considering if the word was a singular or plural noun?, How much, if at all, do you care about the debate over the use of the word "data" as a singluar or plural noun?, In your opinion, how important or unimportant is proper use of grammar?, Gender...

1,129 rows

congress-age/congress-terms

congress, chamber, bioguide, firstname, middlename, lastname, suffix, birthday, state...

18,635 rows

congress-resignations/congressional_resignations

Member, Party, District, Congress, Resignation Date, Reason, Source, Category

615 rows

cousin-marriage/cousin-marriage-data

Country, Percent

70 rows

daily-show-guests/daily_show_guests

YEAR, GoogleKnowlege_Occupation, Show, Group, Raw_Guest_List

2,693 rows

democratic-bench/democratic-bench

cand, raised_exp, raised_act

67 rows

drug-use-by-age/drug-use-by-age

age, n, alcohol-use, alcohol-frequency, marijuana-use, marijuana-frequency, cocaine-use, cocaine-frequency, crack-use...

17 rows

early-senate-polls/early-senate-polls

year, election_result, presidential_approval, poll_average

107 rows

elo-blatter/elo_blatter

country, elo98, elo15, confederation, gdp06, popu06, gdp_source, popu_source

209 rows

endorsements-june-30/endorsements-june-30

year, party, candidate, endorsement_points, percentage_endorsement_points, money_raised, percentage_of_money, primary_vote_percentage, won_primary

109 rows

fandango/fandango_score_comparison

FILM, RottenTomatoes, RottenTomatoes_User, Metacritic, Metacritic_User, IMDB, Fandango_Stars, Fandango_Ratingvalue, RT_norm...

146 rows

fandango/fandango_scrape

FILM, STARS, RATING, VOTES

510 rows

fifa/fifa_countries_audience

country, confederation, population_share, tv_audience_share, gdp_weighted_share

191 rows

flying-etiquette-survey/flying-etiquette

RespondentID, How often do you travel by plane?, Do you ever recline your seat when you fly?, How tall are you?, Do you have any children under 18?, In a row of three seats, who should get to use the two arm rests?, In a row of two seats, who should get to use the middle arm rest?, Who should have control over the window shade?, Is itrude to move to an unsold seat on a plane?...

1,040 rows

food-world-cup/food-world-cup-data

RespondentID, Generally speaking, how would you rate your level of knowledgeÊof cuisines from different parts of the world?, How much, if at all, are you interested in cuisines from different parts of the world?, Please rate how much you like the traditional cuisine of Algeria:, Please rate how much you like the traditional cuisine of Argentina., Please rate how much you like the traditional cuisine ofÊAustralia., Please rate how much you like the traditional cuisine of Belgium., Please rate how much you like the traditional cuisine of Bosnia and Herzegovina., Please rate how much you like the traditional cuisine of Brazil....

1,373 rows

forecast-methodology/historical-senate-predictions

state, year, candidate, forecast_prob, result, winflag

207 rows

forecast-review/forecast_results_2018

cycle, branch, race, forecastdate, version, Democrat_WinProbability, Republican_WinProbability, category, Democrat_Won...

1,518 rows

goose/goose_rawdata

name, year, team, league, goose_eggs, broken_eggs, mehs, league_average_gpct, ppf...

30,962 rows

hate-crimes/hate_crimes

state, median_household_income, share_unemployed_seasonal, share_population_in_metro_areas, share_population_with_high_school_degree, share_non_citizen, share_white_poverty, gini_index, share_non_white...

51 rows

hip-hop-candidate-lyrics/genius_hip_hop_lyrics

id, candidate, song, artist, sentiment, theme, album_release_date, line, url

377 rows

historical-ncaa-forecasts/historical-538-ncaa-tournament-model-results

year, round, favorite, underdog, favorite_probability, favorite_win_flag

253 rows

inconvenient-sequel/ratings

timestamp, respondents, category, link, average, mean, median, 1_votes, 2_votes...

80,053 rows

infrastructure-jobs/payroll-states

state_code, state_name

53 rows

librarians/librarians-by-msa

prim_state, area_name, tot_emp, emp_prse, jobs_1000, loc_quotient

373 rows

love-actually/love_actually_adjacencies

actors, bill_nighy, keira_knightley, andrew_lincoln, hugh_grant, colin_firth, alan_rickman, heike_makatsch, laura_linney...

14 rows

love-actually/love_actually_appearances

scenes, bill_nighy, keira_knightley, andrew_lincoln, hugh_grant, colin_firth, alan_rickman, heike_makatsch, laura_linney...

1,003 rows

mad-men/performer-scores

Performer, Score per year, Total score, Show

243 rows

mad-men/show-data

Performer, Show, Show Start, Show End, Status?, CharEnd, Years Since, #LEAD, #SUPPORT...

248 rows

march-madness-predictions/bracket-00

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-01

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-02

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-03

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-04

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-05

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-06

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-07

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-08

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-09

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-10

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-11

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-12

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-13

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-14

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-15

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-16

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-17

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-18

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-19

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-20

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-21

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-22

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-23

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-24

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-25

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-26

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-27

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-28

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-29

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-30

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-31

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-32

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-33

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-34

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-35

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-36

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-37

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-38

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-39

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-40

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-41

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-42

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-43

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-44

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-45

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-46

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-47

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-48

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-49

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-50

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-51

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-52

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-53

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-54

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-55

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-56

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-57

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-58

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-59

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-60

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

march-madness-predictions/bracket-61

team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...

68 rows

marriage/both_sexes

Unnamed: 0, year, date, all_2534, HS_2534, SC_2534, BAp_2534, BAo_2534, GD_2534...

17 rows

marriage/divorce

Unnamed: 0, year, date, all_3544, HS_3544, SC_3544, BAp_3544, BAo_3544, GD_3544...

17 rows

marriage/men

Unnamed: 0, year, date, all_2534, HS_2534, SC_2534, BAp_2534, BAo_2534, GD_2534...

17 rows

marriage/women

Unnamed: 0, year, date, all_2534, HS_2534, SC_2534, BAp_2534, BAo_2534, GD_2534...

17 rows

masculinity-survey/masculinity-survey

AMONG ADULT MEN, Unnamed: 1, Adult Men, Age, Unnamed: 4, Unnamed: 5, Race, Unnamed: 7, Children...

232 rows

masculinity-survey/raw-responses

Unnamed: 0, StartDate, EndDate, q0001, q0002, q0004_0001, q0004_0002, q0004_0003, q0004_0004...

1,615 rows

mayweather-mcgregor/tweets

created_at, emojis, id, link, retweeted, screen_name, text

12,118 rows

mlb-allstar-teams/allstar_player_talent

bbref_ID, yearID, gameNum, gameID, lgID, startingPos, OFF600, DEF600, PITCH200...

3,930 rows

mlb-allstar-teams/allstar_team_talent

yearID, gameNum, gameID, lgID, tm_OFF_talent, tm_DEF_talent, tm_PIT_talent, MLB_avg_RPG, talent_RSPG...

172 rows

most-common-name/adjusted-name-combinations-list

Unnamed: 0, FirstName, Surname, Adjustment, cleanName, Estimate, finalEstimate

400 rows

most-common-name/adjusted-name-combinations-matrix

Unnamed: 0, FirstName, SMITH, JOHNSON, WILLIAMS, BROWN, JONES, GARCIA, RODRIGUEZ...

20 rows

most-common-name/adjustments

Unnamed: 0, Miller, Anderson, Martin, Smith, Thompson, Wilson, Moore, White...

20 rows

most-common-name/aging-curve

Decade, Age, Male, Female, Male.1, Female.1

12 rows

most-common-name/independent-name-combinations-by-pop

Unnamed: 0, SMITH, JOHNSON, WILLIAMS, BROWN, JONES, GARCIA, RODRIGUEZ, MILLER...

100 rows

most-common-name/new-top-firstNames

Unnamed: 0, name, newPerct2013

100 rows

most-common-name/new-top-surnames

Unnamed: 0, name, perct2013

100 rows

most-common-name/state-pop

state, totalPop, hispPop

51 rows

most-common-name/surnames

name, rank, count, prop100k, cum_prop100k, pctwhite, pctblack, pctapi, pctaian...

151,671 rows

murder_2016/murder_2015_final

city, state, 2014_murders, 2015_murders, change

83 rows

murder_2016/murder_2016_prelim

city, state, 2015_murders, 2016_murders, change, source, as_of

79 rows

nba-draft-2015/historical_projections

Player, Position, ID, Draft Year, Projected SPM, Superstar, Starter, Role Player, Bust

1,090 rows

nba-elo/nbaallelo

gameorder, game_id, lg_id, _iscopy, year_id, date_game, seasongame, is_playoffs, team_id...

126,314 rows

nba-tattoos/nba-tattoos-data

Player Name, Tattoos yes/no

636 rows

next-bechdel/nextBechdel_allTests

movie, bechdel, peirce, landau, feldman, villareal, hagen, ko, villarobos...

50 rows

next-bechdel/nextBechdel_castGender

MOVIE, ACTOR, CHARACTER_NAME, TYPE, BILLING, GENDER

2,075 rows

next-bechdel/nextBechdel_crewGender

MOVIE, DEPARTMENT, FULL_NAME, FIRST_NAME, IMDB, GENDER_PROB, GENDER_GUESS

10,029 rows

nfl-fandom/NFL_fandom_data-google_trends

Unnamed: 0, Pct. Of major sports searches, Unnamed: 2, Unnamed: 3, Unnamed: 4, Unnamed: 5, Unnamed: 6, Unnamed: 7, Unnamed: 8

208 rows

nfl-fandom/NFL_fandom_data-surveymonkey

Unnamed: 0, Unnamed: 1, Democrat, Unnamed: 3, Unnamed: 4, Unnamed: 5, Unnamed: 6, Unnamed: 7, Independent...

34 rows

nfl-favorite-team/team-picking-categories

TEAM, BMK, UNI, CCH, STX, SMK, AFF, SLP, NYP...

32 rows

nfl-suspensions/nfl-suspensions-data

name, team, games, category, desc., year, source

269 rows

nfl-ticket-prices/2014-average-ticket-price

Event, Division, Avg TP, $

108 rows

nfl-ticket-prices/jets-buyer

Raiders at Jets 9/7/14, Unnamed: 1, Unnamed: 2

62 rows

nfl-ticket-prices/national-average

Genre, Avg TP, $

32 rows

nfl-wide-receivers/advanced-historical

pfr_player_id, player_name, career_try, career_ranypa, career_wowy, bcs_rating

6,496 rows

nfl-wide-receivers/try-per-game-aging-curve

age_from, age_to, trypg_change

24 rows

nutrition-studies/p_values_analysis

food, characteristic, p_values

27,716 rows

nutrition-studies/raw_anonymized_data

ID, cancer, diabetes, heart_disease, belly, ever_smoked, currently_smoke, smoke_often, smoke_rarely...

54 rows

obama-commutations/obama_commutations

key, info

7,077 rows

partisan-lean/fivethirtyeight_partisan_lean_DISTRICTS

district, pvi_538

435 rows

partisan-lean/fivethirtyeight_partisan_lean_STATES

state, pvi_538

50 rows

pew-religions/current

0.00719424460432, 0.213771839671, 0.261048304214, 0.00719424460432.1, 0.0668036998972, 0.0082219938335, 0.0195272353546, 0.151079136691, 0.016443987667...

100 rows

police-deaths/all_data

person, dept, eow, cause

22,800 rows

police-deaths/clean_data

person, dept, eow, cause, cause_short, date, year, canine, dept_name...

22,800 rows

police-killings/police_killings

name, age, gender, raceethnicity, month, day, year, streetaddress, city...

467 rows

police-locals/police-locals

city, police_force_size, all, white, non-white, black, hispanic, asian

75 rows

political-elasticity-scores/elasticity-by-district

district, elasticity

435 rows

political-elasticity-scores/elasticity-by-state

state, elasticity

51 rows

poll-quiz-guns/guns-polls

Question, Start, End, Pollster, Population, Support, Republican Support, Democratic Support, URL

57 rows

pollster-ratings/2016/pollster-ratings

ID, Pollster, Polls, Live Caller With Cellphones, Internet, NCPP/AAPOR/Roper, Polls.1, Simple Average Error, Races Called Correctly...

372 rows

pollster-ratings/2016/raw-polls

pollno, race, year, location, type_simple, type_detail, pollster, partisan, polldate...

7,977 rows

pollster-ratings/pollster-ratings

Pollster, # of Polls, NCPP / AAPOR / Roper, Exclusively Live Caller With Cellphones, Methodology, Banned by 538, Historical Advanced Plus-Minus, Predictive Plus-Minus, 538 Grade...

396 rows

pollster-ratings/raw-polls

pollno, race, year, location, type_simple, type_detail, pollster, partisan, polldate...

8,512 rows

potential-candidates/2015_01_14/events

Person, Party, State, Event, Type, Date, Link, Snippet

42 rows

potential-candidates/2015_01_14/statements

Person, Party, Statement Date, Latest Statement, Statement Score

25 rows

potential-candidates/2015_01_30/events

Person, Party, State, Event, Type, Date, Link, Snippet

74 rows

potential-candidates/2015_01_30/statements

Person, Party, Statement Date, Latest Statement, Statement Score

27 rows

presidential-campaign-trail/clinton

date, location, lat, lng

71 rows

presidential-campaign-trail/trump

date, location, lat, lng

106 rows

presidential-commencement-speeches/commencement_speeches

president, president_name, title, date, city, state, building, room

154 rows

primary-candidates-2018/dem_candidates

Candidate, State, District, Office Type, Race Type, Race Primary Election Date, Primary Status, Primary Runoff Status, General Status...

811 rows

primary-candidates-2018/rep_candidates

Candidate, State, District, Office Type, Race Type, Race Primary Election Date, Primary Status, Primary Runoff Status, General Status...

774 rows

puerto-rico-media/google_trends

Day, "Hurricane Harvey": (United States), "Hurricane Irma": (United States), "Hurricane Maria": (United States), "Hurricane Jose": (United States)

37 rows

puerto-rico-media/mediacloud_hurricanes

Date, Harvey, Irma, Maria, Jose

38 rows

puerto-rico-media/mediacloud_states

Date, Texas, "Puerto Rico", Florida

51 rows

puerto-rico-media/mediacloud_top_online_news

name, url

49 rows

puerto-rico-media/mediacloud_trump

Date, title:"Puerto Rico", title:"Puerto Rico" AND (title:Trump OR title:President), title:Florida, title:Florida AND (title:Trump OR title:President), title:Texas, title:Texas AND (title:Trump OR title:President)

51 rows

puerto-rico-media/tv_hurricanes

Date, Harvey, Irma, Maria, Jose

37 rows

puerto-rico-media/tv_hurricanes_by_network

Date, Query, BBC News, CNN, FOX News, MSNBC

84 rows

puerto-rico-media/tv_states

Date, Florida, Texas, Puerto Rico

52 rows

pulitzer/pulitzer-circulation-data

Newspaper, Daily Circulation, 2004, Daily Circulation, 2013, Change in Daily Circulation, 2004-2013, Pulitzer Prize Winners and Finalists, 1990-2003, Pulitzer Prize Winners and Finalists, 2004-2014, Pulitzer Prize Winners and Finalists, 1990-2014

50 rows

rare-pepes/blocks_timestamps

Block, Timestamp

78,265 rows

rare-pepes/ordermatches_all

Block, ForwardAsset, ForwardQuantity, BackwardAsset, BackwardQuantity

26,038 rows

rare-pepes/pepecash_prices

Timestamp, Price

491 rows

rare-pepes/xcp_prices

Timestamp, Price

520 rows

region-survey/MIDWEST

RespondentID, In your own words, what would you call the part of the country you live in now?, How much, if at all, do you personally identify as a Midwesterner?, Unnamed: 3, Unnamed: 4, Unnamed: 5, Which of the following states do you consider part of the Midwest? Please select all that apply. , Unnamed: 7, Unnamed: 8...

2,779 rows

region-survey/SOUTH

RespondentID, In your own words, what would you call the part of the country you live in now?, How much, if at all, do you personally identify as a Southerner?, Unnamed: 3, Unnamed: 4, Unnamed: 5, Which of the following states do you consider part of the South? Please select all that apply. , Unnamed: 7, Unnamed: 8...

2,529 rows

religion-survey/religion-survey-results

What is your present religion, if any?, Unnamed: 1, Do you consider yourself to be an evangelical?, Do you attend religious services, How often do you: Pray in public with visible motions (sign of the cross, bowing, prostration, shokeling, etc), How often do you: Pray in public using some kind of physical object (rosary, tefillin, etc), How often do you: Pray aloud before meals in the presence of people who don't belong to your religion, How often do you: Tell someone you'll pray for him or her, How often do you: Ask or offer to pray with someone...

1,040 rows

reluctant-trump/february_2018_rawdata

q1, issue_matters_most, trump_approval, q4, q5, q6, q7, q8, q9...

7,169 rows

riddler-castles/castle-solutions

Castle 1, Castle 2, Castle 3, Castle 4, Castle 5, Castle 6, Castle 7, Castle 8, Castle 9...

1,387 rows

riddler-castles/castle-solutions-2

Castle 1, Castle 2, Castle 3, Castle 4, Castle 5, Castle 6, Castle 7, Castle 8, Castle 9...

932 rows

riddler-pick-lowest/low_numbers

Your Number, Show Your Work

3,660 rows

san-andreas/earthquake_data

In general, how worried are you about earthquakes?, How worried are you about the Big One, a massive, catastrophic earthquake?, Do you think the "Big One" will occur in your lifetime?, Have you ever experienced an earthquake?, Have you or anyone in your household taken any precautions for an earthquake (packed an earthquake survival kit, prepared an evacuation plan, etc.)?, How familiar are you with the San Andreas Fault line?, How familiar are you with the Yellowstone Supervolcano?, Age, What is your gender?...

1,013 rows

sandy-311-calls/sandy-311-calls-by-day

date, NYC-3-1-1, ACS, BPSI, CAU, CHALL, DEP, DOB, DOE...

1,783 rows

science-giving/science_federal_giving

version https://git-lfs.github.com/spec/v1

2 rows

scrabble-games/scrabble_games

version https://git-lfs.github.com/spec/v1

2 rows

sleeping-alone-data/sleeping-alone-data

StartDate, EndDate, Which of the following best describes your current relationship status?, How long have you been in your current relationship? If you are not currently in a relationship, please answer according to your last relationship., When both you and your partner are at home, how often do you sleep in separate beds?, When you're not sleeping in the same bed as your partner, where do you typically sleep?, Unnamed: 6, When you're not sleeping in the same bed, where does your partner typically sleep?, Unnamed: 8...

1,094 rows

special-elections/special-elections

Date, State, Race, Median Household Income, % Bachelor's Degree or Higher, Clinton Margin Improvement Over Obama, 2017-2018 Dem Margin Improvement Over Partisan Lean

200 rows

star-wars-survey/StarWars

RespondentID, Have you seen any of the 6 films in the Star Wars franchise?, Do you consider yourself to be a fan of the Star Wars film franchise?, Which of the following Star Wars films have you seen? Please select all that apply., Unnamed: 4, Unnamed: 5, Unnamed: 6, Unnamed: 7, Unnamed: 8...

1,187 rows

steak-survey/steak-risk-survey

RespondentID, Consider the following hypothetical situations: <br>In Lottery A, you have a 50% chance of success, with a payout of $100. <br>In Lottery B, you have a 90% chance of success, with a payout of $20. <br><br>Assuming you have $10 to bet, would you play Lottery A or Lottery B?, Do you ever smoke cigarettes?, Do you ever drink alcohol?, Do you ever gamble?, Have you ever been skydiving?, Do you ever drive above the speed limit?, Have you ever cheated on your significant other?, Do you eat steak?...

551 rows

tarantino/tarantino

movie, type, word, minutes_in

1,894 rows

tennis-time/events_time

tournament, surface, seconds_added_per_point, years

205 rows

tennis-time/players_time

player, seconds_added_per_point

218 rows

tennis-time/serve_times

server, seconds_before_next_point, day, opponent, game_score, set, game

120 rows

tenth-circuit/tenth-circuit

Title, Date, Federal Reporter Citation, Westlaw Citation, Issue, Weight, Judge1, Judge2, Judge3...

954 rows

terrorism/country_stats_1993_appendix2

Country, Number of Incidents, Percent, Number Killed, Number Injured, Number US Killed, Number US Injured

129 rows

terrorism/eu_terrorism_fatalities_by_country

iyear, Belgium, Denmark, France, Germany, Greece, Ireland, Italy, Luxembourg...

45 rows

terrorism/eu_terrorism_fatalities_by_year

iyear, fatalities

29 rows

terrorism/france_terrorism_fatalities_by_year

iyear, fatalities

43 rows

thanksgiving-2015/thanksgiving-2015-poll-data

RespondentID, Do you celebrate Thanksgiving?, What is typically the main dish at your Thanksgiving dinner?, What is typically the main dish at your Thanksgiving dinner? - Other (please specify), How is the main dish typically cooked?, How is the main dish typically cooked? - Other (please specify), What kind of stuffing/dressing do you typically have?, What kind of stuffing/dressing do you typically have? - Other (please specify), What type of cranberry saucedo you typically have?...

1,058 rows

trump-lawsuits/trump-lawsuits

docketNumber, dateFiled, caseName, plaintiff, defendant, currentLocation, previousLocation, jurisdiction, judge...

43 rows

trump-news/trump_news_data

date, major_category, detail

286 rows

trump-twitter/realDonaldTrump_poll_tweets

id, created_at, text

448 rows

trump-world-trust/TRUMPWORLD-issue-1

country, net_approval, Approve, Disapprove, DK/Refused

37 rows

trump-world-trust/TRUMPWORLD-issue-2

country, net_approval, Approve, Disapprove, DK/Refused

37 rows

trump-world-trust/TRUMPWORLD-issue-3

country, net_approval, Approve, Disapprove, DK/Refused

37 rows

trump-world-trust/TRUMPWORLD-issue-4

country, net_approval, Approve, Disapprove, DK/Refused

37 rows

trump-world-trust/TRUMPWORLD-issue-5

country, net_approval, Approve, Disapprove, DK/Refused

37 rows

trump-world-trust/TRUMPWORLD-pres

year, avg, Canada, France, Germany, Greece, Hungary, Italy, Netherlands...

15 rows

trump-world-trust/TRUMPWORLD-us

year, avg, Canada, France, Germany, Greece, Hungary, Italy, Netherlands...

17 rows

twitter-ratio/BarackObama

created_at, text, url, replies, retweets, favorites, user

3,207 rows

twitter-ratio/realDonaldTrump

created_at, text, url, replies, retweets, favorites, user

3,232 rows

twitter-ratio/senators

created_at, text, url, replies, retweets, favorites, user, bioguide_id, party...

288,615 rows

undefeated-boxers/undefeated

name, url, date, wins

2,125 rows

unisex-names/aging_curve

decade, age, male, female, male_perct, female_perct

12 rows

unisex-names/unisex_names_table

Unnamed: 0, name, total, male_share, female_share, gap

919 rows

us-weather-history/KCLT

date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...

365 rows

us-weather-history/KCQT

date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...

365 rows

us-weather-history/KHOU

date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...

365 rows

us-weather-history/KIND

date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...

365 rows

us-weather-history/KJAX

date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...

365 rows

us-weather-history/KMDW

date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...

365 rows

us-weather-history/KNYC

date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...

365 rows

us-weather-history/KPHL

date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...

365 rows

us-weather-history/KPHX

date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...

365 rows

us-weather-history/KSEA

date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...

365 rows

weather-check/weather-check

RespondentID, Do you typically check a daily weather report?, How do you typically check the weather?, A specific website or app (please provide the answer), 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?, Age, What is your gender?, How much total combined money did all members of your HOUSEHOLD earn last year?, US Region

928 rows

womens-world-cup-predictions/wwc-forecast-20150602-093000

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150606-200029

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150606-230045

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150607-150137

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150607-180420

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150608-175420

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150608-210138

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150608-212619

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150608-235509

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150609-145605

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150609-175933

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150609-205725

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150611-182114

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150611-200059

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150611-210229

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150611-232844

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150612-185329

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150612-205525

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150612-215533

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150612-235650

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150613-145639

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150613-175552

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150613-205441

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150615-175745

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150615-213540

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150616-190139

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150616-220036

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150617-175941

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150617-210614

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150620-180614

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150620-213513

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150621-145724

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150621-175918

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150621-213134

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150622-185345

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150622-215702

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150623-235546

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150626-184421

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150626-212544

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150627-180119

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150627-213532

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150630-210243

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150701-205548

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-forecast-20150705-205539

team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...

24 rows

womens-world-cup-predictions/wwc-matches-20150602-093000

date, group, team1, team2, team1_win, team2_win, tie

36 rows

womens-world-cup-predictions/wwc-matches-20150606-200029

date, group, team1, team2, team1_win, team2_win, tie

36 rows

womens-world-cup-predictions/wwc-matches-20150606-230045

date, group, team1, team2, team1_win, team2_win, tie

36 rows

womens-world-cup-predictions/wwc-matches-20150607-150137

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