ny2cali
ny2cali
/ cssNamedColors.csv
Last active
February 24, 2021 01:48
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| Specification | Keyword | RGB hex value | |
|---|---|---|---|
| CSS Level 1 | black | #000000 | |
| CSS Level 1 | silver | #c0c0c0 | |
| CSS Level 1 | gray | #808080 | |
| CSS Level 1 | white | #ffffff | |
| CSS Level 1 | maroon | #800000 | |
| CSS Level 1 | red | #ff0000 | |
| CSS Level 1 | purple | #800080 | |
| CSS Level 1 | fuchsia | #ff00ff | |
| CSS Level 1 | green | #008000 |
ny2cali
/ UN_Population_2019.csv
Last active
February 26, 2021 05:01
United Nations World Population Prospects 2019
We can make this file beautiful and searchable if this error is corrected: It looks like row 3 should actually have 76 columns, instead of 10 in line 2.
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| Country,Notes,Country code,Type,Parent code,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020 | |
| China,9,156,Country/Area,906,554419,569909,582576,593366,603052,612242,621363,630678,640296,650213,660408,670953,682103,694339,708255,724219,742415,762581,784075,805986,827601,848760,869486,889485,908464,926241,942685,957891,972205,986132,1000089,1014022,1027949,1042431,1058172,1075589,1095014,1116095,1137724,1158357,1176884,1192897,1206711,1218817,1230020,1240921,1251636,1261996,1271982,1281515,1290551,1299130,1307352,1315304,1323085,1330776,1338409,1345994,1353569,1361169,1368811,1376498,1384206,1391883,1399454,1406848,1414049,1421022,1427648,1433784,1439324 | |
| India,,356,Country/Area,5501,376325,382377,388799,395544,4 |
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| sepal_length | sepal_width | petal_length | petal_width | species | |
|---|---|---|---|---|---|
| 5.1 | 3.5 | 1.4 | 0.2 | setosa | |
| 4.9 | 3.0 | 1.4 | 0.2 | setosa | |
| 4.7 | 3.2 | 1.3 | 0.2 | setosa | |
| 4.6 | 3.1 | 1.5 | 0.2 | setosa | |
| 5.0 | 3.6 | 1.4 | 0.2 | setosa | |
| 5.4 | 3.9 | 1.7 | 0.4 | setosa | |
| 4.6 | 3.4 | 1.4 | 0.3 | setosa | |
| 5.0 | 3.4 | 1.5 | 0.2 | setosa | |
| 4.4 | 2.9 | 1.4 | 0.2 | setosa |
ny2cali
/ week_temperature_sf.csv
Created
February 27, 2021 05:00
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| timestamp | temperature | |
|---|---|---|
| 2015-03-20T21:00:00.000Z | 23.9516625615764 | |
| 2015-03-20T22:00:00.000Z | 23.0728888291688 | |
| 2015-03-20T23:00:00.000Z | 22.2708190476318 | |
| 2015-03-21T00:00:00.000Z | 21.3394373423804 | |
| 2015-03-21T01:00:00.000Z | 20.1010743049325 | |
| 2015-03-21T02:00:00.000Z | 18.4150717551479 | |
| 2015-03-21T03:00:00.000Z | 17.7483817583905 | |
| 2015-03-21T04:00:00.000Z | 17.6589726749868 | |
| 2015-03-21T05:00:00.000Z | 17.0922334804965 |
ny2cali
/ world_cities_population
Created
March 3, 2021 01:15
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| city,lat,lng,country,population | |
| Tokyo,35.685,139.7514,Japan,35676000 | |
| New York,40.6943,-73.9249,United States,19354922 | |
| Mexico City,19.4424,-99.131,Mexico,19028000 | |
| Mumbai,19.017,72.857,India,18978000 | |
| São Paulo,-23.5587,-46.625,Brazil,18845000 | |
| Delhi,28.67,77.23,India,15926000 | |
| Shanghai,31.2165,121.4365,China,14987000 | |
| Kolkata,22.495,88.3247,India,14787000 | |
| Los Angeles,34.1139,-118.4068,United States,12815475 |
ny2cali
/ MissingMigrants-Global-2019-10-08T09-47-14-subset.csv
Created
March 3, 2021 03:14
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| Reported Date | Total Dead and Missing | Location Coordinates | |
|---|---|---|---|
| October 07, 2019 | 28 | 35.210549549164, 12.180541076066 | |
| October 06, 2019 | 1 | 25.900890221875, -97.525930965196 | |
| October 04, 2019 | 1 | 36.778630672371, -2.499724435320 | |
| October 04, 2019 | 1 | 26.396783686456, -99.078156497984 | |
| October 03, 2019 | 1 | 17.887207400000, -95.138674200000 | |
| October 03, 2019 | 1 | 27.435807331497, -99.495251713848 | |
| October 02, 2019 | 1 | 28.025147800000, -99.548918700000 | |
| October 01, 2019 | 2 | 45.158752305501, 19.339737369364 | |
| September 30, 2019 | 1 | 33.369970400000, -7.585723100000 |
ny2cali
/ share-of-population-infected-with-hiv-ihme.csv
Created
March 6, 2021 18:04
ny2cali
/ countries_codes_and_coordinates.csv
Created
March 7, 2021 23:32
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| Country | Alpha-2 code | Alpha-3 code | Numeric code | Latitude (average) | Longitude (average) | |
|---|---|---|---|---|---|---|
| Afghanistan | AF | AFG | 4 | 33 | 65 | |
| Albania | AL | ALB | 8 | 41 | 20 | |
| Algeria | DZ | DZA | 12 | 28 | 3 | |
| American Samoa | AS | ASM | 16 | -14.3333 | -170 | |
| Andorra | AD | AND | 20 | 42.5 | 1.6 | |
| Angola | AO | AGO | 24 | -12.5 | 18.5 | |
| Anguilla | AI | AIA | 660 | 18.25 | -63.1667 | |
| Antarctica | AQ | ATA | 10 | -90 | 0 | |
| Antigua and Barbuda | AG | ATG | 28 | 17.05 | -61.8 |
ny2cali
/ ISO-3166-Countries-with-Regional-Codes-slim-3.csv
Created
March 7, 2021 23:44
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| name | alpha-3 | country-code | |
|---|---|---|---|
| Afghanistan | AFG | 004 | |
| Åland Islands | ALA | 248 | |
| Albania | ALB | 008 | |
| Algeria | DZA | 012 | |
| American Samoa | ASM | 016 | |
| Andorra | AND | 020 | |
| Angola | AGO | 024 | |
| Anguilla | AIA | 660 | |
| Antarctica | ATA | 010 |
ny2cali
/ time_series_covid19_deaths_Global.csv
Created
March 11, 2021 04:27
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| Province/State | Country/Region | Lat | Long | 1/22/20 | 1/23/20 | 1/24/20 | 1/25/20 | 1/26/20 | 1/27/20 | 1/28/20 | 1/29/20 | 1/30/20 | 1/31/20 | 2/1/20 | 2/2/20 | 2/3/20 | 2/4/20 | 2/5/20 | 2/6/20 | 2/7/20 | 2/8/20 | 2/9/20 | 2/10/20 | 2/11/20 | 2/12/20 | 2/13/20 | 2/14/20 | 2/15/20 | 2/16/20 | 2/17/20 | 2/18/20 | 2/19/20 | 2/20/20 | 2/21/20 | 2/22/20 | 2/23/20 | 2/24/20 | 2/25/20 | 2/26/20 | 2/27/20 | 2/28/20 | 2/29/20 | 3/1/20 | 3/2/20 | 3/3/20 | 3/4/20 | 3/5/20 | 3/6/20 | 3/7/20 | 3/8/20 | 3/9/20 | 3/10/20 | 3/11/20 | 3/12/20 | 3/13/20 | 3/14/20 | 3/15/20 | 3/16/20 | 3/17/20 | 3/18/20 | 3/19/20 | 3/20/20 | 3/21/20 | 3/22/20 | 3/23/20 | 3/24/20 | 3/25/20 | 3/26/20 | 3/27/20 | 3/28/20 | 3/29/20 | 3/30/20 | 3/31/20 | 4/1/20 | 4/2/20 | 4/3/20 | 4/4/20 | 4/5/20 | 4/6/20 | 4/7/20 | 4/8/20 | 4/9/20 | 4/10/20 | 4/11/20 | 4/12/20 | 4/13/20 | 4/14/20 | 4/15/20 | 4/16/20 | 4/17/20 | 4/18/20 | 4/19/20 | 4/20/20 | 4/21/20 | 4/22/20 | 4/23/20 | 4/24/20 | 4/25/20 | 4/26/20 | 4/27/20 | 4/28/20 | 4/29/20 | 4/30/20 | 5/1/20 | 5/2/20 | 5/3/20 | 5/4/20 | 5/5/20 | 5/6/20 | 5/7/20 | 5/8/20 | 5/9/20 | 5/10/20 | 5/11/20 | 5/12/20 | 5/13/20 | 5/14/20 | 5/15/20 | 5/16/20 | 5/17/20 | 5/18/20 | 5/19/20 | 5/20/20 | 5/21/20 | 5/22/20 | 5/23/20 | 5/24/20 | 5/25/20 | 5/26/20 | 5/27/20 | 5/28/ |
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