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U.S. Weather History: KNYC.csv

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This table contains data and code behind the story What 12 Months Of Record-Setting Temperatures Looks Like Across The U.S..

Code

Code file Description
wunderground_scraper.py Downloads weather data web pages from Weather Underground
wunderground_parser.py Parses the weather data from Weather Underground into a flat CSV file
visualize_weather.py Creates the visualization of the weather data

Data

Column Description
date The date of the weather record, formatted YYYY-M-D
actual_mean_temp The measured average temperature for that day
actual_min_temp The measured minimum temperature for that day
actual_max_temp The measured maximum temperature for that day
average_min_temp The average minimum temperature on that day since 1880
average_max_temp The average maximum temperature on that day since 1880
record_min_temp The lowest ever temperature on that day since 1880
record_max_temp The highest ever temperature on that day since 1880
record_min_temp_year The year that the lowest ever temperature occurred
record_max_temp_year The year that the highest ever temperature occurred
actual_precipitation The measured amount of rain or snow for that day
average_precipitation The average amount of rain or snow on that day since 1880
record_precipitation The highest amount of rain or snow on that day since 1880

Source: Weather Underground

Data license: CC Attribution 4.0 License · Data source: fivethirtyeight/data on GitHub · About: simonw/fivethirtyeight-datasette

65 rows where average_precipitation = "0.15"

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Suggested facets: actual_min_temp, average_min_temp, average_max_temp, record_max_temp, actual_precipitation, date (date)

Link rowid ▼ 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 record_max_temp_year actual_precipitation average_precipitation record_precipitation
10 10 2014-7-10 78 72 83 69 84 55 102 1890 1993 0.0 0.15 1.79
11 11 2014-7-11 79 71 86 69 84 57 98 1898 1988 0.0 0.15 1.94
12 12 2014-7-12 78 71 85 69 84 57 99 1926 1966 0.0 0.15 2.68
15 15 2014-7-15 79 72 86 69 84 57 102 1930 1995 1.3 0.15 2.33
17 17 2014-7-17 74 67 81 69 84 57 100 1892 1953 0.0 0.15 3.13
18 18 2014-7-18 73 64 81 69 84 57 101 1925 1953 0.0 0.15 1.76
20 20 2014-7-20 72 66 78 69 84 55 101 1890 1980 0.0 0.15 1.97
21 21 2014-7-21 76 67 85 69 84 55 104 1890 1977 0.0 0.15 2.26
23 23 2014-7-23 80 72 88 69 84 58 100 1890 2011 0.19 0.15 2.41
24 24 2014-7-24 75 70 80 69 84 56 97 1893 1999 0.0 0.15 3.75
25 25 2014-7-25 74 66 82 69 84 57 97 1953 1999 0.0 0.15 1.64
38 38 2014-8-7 75 66 83 69 84 57 104 1994 1918 0.0 0.15 2.18
39 39 2014-8-8 74 65 83 69 84 54 99 1903 2001 0.0 0.15 2.6
40 40 2014-8-9 77 66 87 69 84 57 103 1989 2001 0.0 0.15 4.1
45 45 2014-8-14 70 63 77 68 83 54 99 1964 1988 0.0 0.15 5.81
47 47 2014-8-16 71 63 78 68 83 55 96 1880 1944 0.0 0.15 4.8
50 50 2014-8-19 73 63 83 68 83 55 94 1924 2002 0.0 0.15 2.53
52 52 2014-8-21 74 65 83 68 82 53 96 1922 1955 0.35 0.15 4.19
77 77 2014-9-15 63 55 71 61 76 45 92 1913 1927 0.0 0.15 4.16
78 78 2014-9-16 64 58 70 61 75 47 93 1966 1915 0.37 0.15 5.02
79 79 2014-9-17 64 55 73 61 75 45 93 1986 1991 0.0 0.15 3.37
80 80 2014-9-18 67 57 76 60 75 44 91 1990 1891 0.0 0.15 3.92
81 81 2014-9-19 60 54 66 60 74 44 94 1929 1983 0.0 0.15 4.3
82 82 2014-9-20 66 57 75 59 74 44 93 1993 1983 0.0 0.15 2.32
83 83 2014-9-21 71 67 75 59 73 40 95 1871 1895 0.15 0.15 5.54
84 84 2014-9-22 63 55 71 59 73 41 95 1904 1914 0.0 0.15 2.34
86 86 2014-9-24 65 58 71 58 72 40 89 1963 1959 0.0 0.15 2.26
88 88 2014-9-26 68 58 77 57 71 42 91 1940 1970 0.0 0.15 2.34
89 89 2014-9-27 72 60 83 57 71 41 90 1957 1933 0.0 0.15 3.13
93 93 2014-10-1 63 61 65 55 69 36 88 1947 1927 0.02 0.15 4.98
97 97 2014-10-5 54 46 61 54 68 35 94 1881 1941 0.0 0.15 1.99
99 99 2014-10-7 67 63 71 53 67 39 88 1999 1944 0.06 0.15 4.09
101 101 2014-10-9 62 55 68 52 66 37 86 2000 1916 0.0 0.15 7.33
103 103 2014-10-11 55 50 60 51 65 34 85 1964 1949 0.33 0.15 3.06
106 106 2014-10-14 70 63 76 50 64 37 84 1988 1920 0.0 0.15 1.76
114 114 2014-10-22 54 50 58 48 62 30 88 1940 1979 1.51 0.15 1.51
117 117 2014-10-25 59 50 67 47 61 29 79 1879 1963 0.01 0.15 3.3
153 153 2014-11-30 50 45 55 37 49 7 70 1875 1991 0.0 0.15 1.11
156 156 2014-12-3 44 41 46 36 47 9 69 1976 1998 0.06 0.15 1.63
260 260 2015-3-17 46 34 57 35 50 9 75 1916 1945 0.02 0.15 1.42
262 262 2015-3-19 36 29 43 36 51 8 76 1967 1918 0.0 0.15 2.19
263 263 2015-3-20 34 29 38 36 51 11 83 1885 1945 0.4 0.15 1.93
264 264 2015-3-21 38 29 47 37 51 10 84 1885 1921 0.0 0.15 2.37
265 265 2015-3-22 36 28 43 37 52 12 78 1885 2012 0.0 0.15 3.44
267 267 2015-3-24 36 26 45 37 52 12 76 1888 1988 0.0 0.15 2.05
268 268 2015-3-25 42 34 49 38 53 13 79 1878 1963 0.05 0.15 4.25
269 269 2015-3-26 52 42 62 38 53 20 76 1960 1922 0.32 0.15 1.42
271 271 2015-3-28 33 26 40 39 54 13 84 1923 1945 0.0 0.15 2.98
272 272 2015-3-29 36 25 46 39 54 10 86 1923 1945 0.0 0.15 2.03
274 274 2015-3-31 41 35 47 40 55 14 86 1923 1998 0.17 0.15 2.2
280 280 2015-4-6 53 42 63 42 58 21 79 1982 1947 0.0 0.15 2.52
282 282 2015-4-8 41 37 45 42 58 25 90 1982 1991 0.0 0.15 1.93
289 289 2015-4-15 62 51 72 45 61 28 87 1943 1941 0.0 0.15 7.57
291 291 2015-4-17 63 55 71 45 62 28 96 1875 2002 0.08 0.15 1.29
293 293 2015-4-19 56 48 64 46 63 21 92 1875 1976 0.0 0.15 1.96
302 302 2015-4-28 61 50 71 49 66 34 90 1934 1990 0.0 0.15 2.74
326 326 2015-5-22 65 55 74 56 72 44 96 1990 1941 0.0 0.15 1.25
327 327 2015-5-23 60 49 70 56 73 43 94 1963 1964 0.0 0.15 2.7
328 328 2015-5-24 69 56 81 56 73 39 93 1963 1975 0.0 0.15 2.07
329 329 2015-5-25 75 64 85 57 73 41 95 1925 1880 0.0 0.15 0.86
330 330 2015-5-26 78 67 88 57 74 42 95 1967 1880 0.0 0.15 1.28
334 334 2015-5-30 76 67 85 58 75 42 97 1884 1987 0.0 0.15 2.19
335 335 2015-5-31 72 57 87 59 75 46 96 1938 1939 1.46 0.15 3.13
350 350 2015-6-15 74 64 83 64 79 48 96 1933 1994 0.57 0.15 1.13
351 351 2015-6-16 72 65 79 64 80 52 97 1927 1891 0.27 0.15 1.31

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CREATE TABLE "us-weather-history/KNYC" (
"date" TEXT,
  "actual_mean_temp" INTEGER,
  "actual_min_temp" INTEGER,
  "actual_max_temp" INTEGER,
  "average_min_temp" INTEGER,
  "average_max_temp" INTEGER,
  "record_min_temp" INTEGER,
  "record_max_temp" INTEGER,
  "record_min_temp_year" INTEGER,
  "record_max_temp_year" INTEGER,
  "actual_precipitation" REAL,
  "average_precipitation" REAL,
  "record_precipitation" REAL
);
Powered by Datasette · Queries took 21.817ms · Data license: CC Attribution 4.0 License · Data source: fivethirtyeight/data on GitHub · About: simonw/fivethirtyeight-datasette