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U.S. Weather History: KNYC.csv

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 Downloades 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

365 rows sorted by average_max_temp

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Suggested facets: average_precipitation

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
189 2015-1-5 35 21 49 27 38 -4 64 1904 1993 0.0 0.12 1.5
190 2015-1-6 21 19 22 27 38 -2 72 1896 2007 0.05 0.13 1.65
191 2015-1-7 16 9 23 27 38 4 64 2014 1907 0.0 0.12 2.67
192 2015-1-8 15 8 21 27 38 2 65 1968 1998 0.0 0.11 1.25
193 2015-1-9 26 19 33 27 38 -1 64 1968 1937 0.07 0.13 1.42
194 2015-1-10 20 16 23 27 38 -6 60 1875 1876 0.0 0.12 1.72
195 2015-1-11 28 18 37 27 38 3 63 1968 1975 0.0 0.12 1.46
196 2015-1-12 37 35 39 27 38 2 64 1981 1890 0.36 0.13 2.35
197 2015-1-13 27 17 36 27 38 -3 68 1914 1932 0.0 0.12 1.44
198 2015-1-14 24 16 32 27 38 -5 70 1914 1932 0.0 0.12 2.06
199 2015-1-15 30 25 35 27 38 0 67 1957 1932 0.0 0.13 1.27
200 2015-1-16 32 20 43 27 38 1 58 2004 1995 0.0 0.12 1.44
201 2015-1-17 25 17 32 27 38 -2 63 1977 1990 0.0 0.12 1.36
202 2015-1-18 37 31 42 27 38 0 66 1982 1990 2.1 0.11 2.1
203 2015-1-19 39 36 42 27 38 -3 64 1875 1951 0.0 0.12 2.39
204 2015-1-20 36 32 40 27 38 0 61 1994 2006 0.0 0.11 1.41
205 2015-1-21 31 25 36 27 38 -2 63 1985 2006 0.0 0.12 3.45
206 2015-1-22 36 31 40 27 38 0 61 1888 1959 0.0 0.12 1.7
207 2015-1-23 34 28 39 27 38 -3 62 1936 1906 0.0 0.11 2.55
208 2015-1-24 36 33 39 27 38 -6 68 1882 1967 0.72 0.11 2.18
209 2015-1-25 37 31 42 27 38 2 60 1945 1967 0.0 0.11 1.8
182 2014-12-29 39 34 44 28 39 -6 70 1917 1984 0.0 0.11 2.52
183 2014-12-30 31 28 34 28 39 -13 65 1917 1984 0.0 0.12 1.69
184 2014-12-31 30 27 32 28 39 -7 63 1917 1965 0.0 0.11 2.31
185 2015-1-1 33 27 39 28 39 -4 62 1918 1966 0.0 0.12 2.05
186 2015-1-2 39 35 42 28 39 2 68 1918 1876 0.0 0.12 1.92
187 2015-1-3 38 33 42 28 39 -4 64 1879 2000 0.71 0.12 2.42
188 2015-1-4 49 41 56 27 39 -3 66 1918 1950 0.3 0.12 2.73
210 2015-1-26 27 22 31 27 39 3 72 1927 1950 0.48 0.11 2.19
211 2015-1-27 25 20 30 27 39 -1 69 1927 1916 0.36 0.11 1.94
212 2015-1-28 25 16 34 27 39 -2 66 1925 1916 0.0 0.11 1.87
213 2015-1-29 28 19 36 27 39 0 69 1873 2002 0.02 0.11 1.03
214 2015-1-30 29 19 38 27 39 2 64 1873 2006 0.06 0.11 1.19
215 2015-1-31 20 13 26 27 39 -1 63 1920 1947 0.0 0.12 1.51
216 2015-2-1 28 20 36 27 39 -2 67 1920 1989 0.03 0.11 2.12
217 2015-2-2 24 14 34 27 39 -3 59 1881 1988 1.02 0.11 2.98
218 2015-2-3 20 13 26 27 39 0 64 1955 1991 0.0 0.11 1.55
178 2014-12-25 53 44 62 29 40 -1 64 1980 1982 0.09 0.13 1.3
179 2014-12-26 45 40 50 29 40 3 63 1914 1982 0.0 0.12 1.66
180 2014-12-27 50 44 55 29 40 6 63 1872 1949 0.0 0.12 2.14
181 2014-12-28 49 43 54 29 40 8 65 1917 1982 0.1 0.12 1.35
219 2015-2-4 34 24 43 28 40 0 68 1918 1991 0.0 0.1 2.1
220 2015-2-5 28 14 42 28 40 -6 70 1918 1991 0.0 0.11 1.43
221 2015-2-6 20 12 27 28 40 -4 68 1895 2008 0.0 0.11 2.74
222 2015-2-7 33 25 40 28 40 1 54 1910 1938 0.02 0.11 2.96
223 2015-2-8 33 29 37 28 40 -7 61 1934 1965 0.0 0.11 1.15
224 2015-2-9 27 25 29 28 40 -15 63 1934 1990 0.09 0.1 1.74
174 2014-12-21 34 31 36 30 41 -1 65 1942 2013 0.0 0.13 2.49
175 2014-12-22 40 35 44 30 41 2 71 1872 2013 0.04 0.12 2.18
176 2014-12-23 45 43 46 30 41 -1 66 1883 1990 0.16 0.13 1.61
177 2014-12-24 51 44 58 30 41 6 63 1983 1996 0.8 0.13 1.42
225 2015-2-10 33 26 40 28 41 -6 61 1899 2001 0.01 0.11 2.63
226 2015-2-11 28 22 34 28 41 -2 65 1899 1960 0.0 0.1 2.74
227 2015-2-12 28 16 40 28 41 -3 62 1914 1999 0.0 0.11 1.66
228 2015-2-13 15 8 21 29 41 -1 64 1914 1951 0.0 0.1 2.42
229 2015-2-14 24 16 32 29 41 2 63 1916 1946 0.02 0.11 1.59
170 2014-12-17 48 42 54 32 42 1 62 1919 2000 0.02 0.13 2.28
171 2014-12-18 40 37 42 31 42 -1 63 1919 1984 0.0 0.12 1.3
172 2014-12-19 35 31 38 31 42 -1 58 1884 1931 0.0 0.12 1.58
173 2014-12-20 32 30 33 31 42 -4 60 1942 2002 0.0 0.12 1.82
230 2015-2-15 15 4 25 29 42 -8 73 1943 1949 0.0 0.1 1.73
231 2015-2-16 12 3 21 29 42 1 71 1888 1954 0.0 0.12 1.4
232 2015-2-17 21 14 27 29 42 -5 67 1896 1976 0.14 0.11 1.49
233 2015-2-18 26 19 33 29 42 0 68 1979 1981 0.0 0.11 1.5
234 2015-2-19 18 8 27 30 42 1 66 1936 1997 0.0 0.11 2.15
167 2014-12-14 42 38 46 32 43 12 67 1976 1881 0.0 0.13 2.22
168 2014-12-15 43 37 48 32 43 6 67 1874 2008 0.0 0.13 1.34
169 2014-12-16 44 38 49 32 43 7 63 1876 1971 0.2 0.12 2.25
235 2015-2-20 11 2 19 30 43 2 69 2015 1939 0.0 0.11 3.07
236 2015-2-21 23 13 32 30 43 4 68 1896 1930 0.61 0.11 1.86
237 2015-2-22 38 32 43 30 43 8 69 1963 1997 0.1 0.11 2.39
238 2015-2-23 23 8 38 30 43 5 70 1889 1985 0.0 0.12 1.38
164 2014-12-11 35 31 38 33 44 6 64 1880 1879 0.01 0.14 2.41
165 2014-12-12 35 32 38 33 44 5 68 1988 1931 0.0 0.13 1.6
166 2014-12-13 39 34 44 33 44 8 64 1960 1923 0.0 0.13 3.03
239 2015-2-24 14 4 24 30 44 -4 75 1873 1985 0.0 0.12 1.69
240 2015-2-25 29 20 37 31 44 1 75 1914 1930 0.0 0.11 2.11
241 2015-2-26 27 21 32 31 44 7 65 1990 1890 0.0 0.12 1.87
242 2015-2-27 24 18 30 31 44 5 72 1900 1997 0.0 0.12 1.56
161 2014-12-8 31 24 37 34 45 10 65 1882 1927 0.0 0.14 1.54
162 2014-12-9 39 36 42 34 45 7 66 1876 1966 2.54 0.13 2.54
163 2014-12-10 36 32 40 34 45 3 70 1876 1946 0.08 0.14 1.62
243 2015-2-28 21 13 29 31 45 5 67 1934 1976 0.0 0.12 1.21
244 2015-3-1 28 24 31 31 45 5 73 1884 1972 0.52 0.13 2.95
245 2015-3-2 33 27 39 32 45 9 72 1891 1972 0.0 0.12 2.41
246 2015-3-3 30 22 37 32 45 11 65 2003 1991 0.67 0.12 2.25
159 2014-12-6 45 39 50 35 46 11 71 1871 2001 1.22 0.13 1.6
160 2014-12-7 36 30 42 35 46 10 75 1926 1998 0.04 0.14 1.98
247 2015-3-4 40 35 45 32 46 7 70 1943 1974 0.25 0.13 1.65
248 2015-3-5 30 19 40 32 46 3 72 1872 1880 0.76 0.13 1.81
249 2015-3-6 20 12 27 32 46 6 68 1872 1935 0.0 0.13 2.63
156 2014-12-3 44 41 46 36 47 9 69 1976 1998 0.06 0.15 1.63
157 2014-12-4 41 37 45 36 47 10 74 1882 1998 0.0 0.14 1.84
158 2014-12-5 39 34 44 35 47 11 70 1926 2001 0.51 0.14 1.28
250 2015-3-7 28 18 38 33 47 7 74 1890 1946 0.0 0.13 1.87
251 2015-3-8 43 37 49 33 47 8 76 1883 1987 0.0 0.14 1.78
252 2015-3-9 47 40 54 33 47 11 69 1996 2000 0.01 0.13 1.82
154 2014-12-1 54 42 65 37 48 9 70 1875 2006 0.09 0.14 1.72
155 2014-12-2 39 35 43 37 48 12 66 1875 1970 0.08 0.14 2.16
253 2015-3-10 46 39 53 33 48 12 74 1929 2006 0.46 0.13 1.62

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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
)
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