covid
This data as json, yaml, Notebook, copyable, CSV
rowid | day | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1793788 | 2020-05-31 | Brazil | Acre | 6219 | 148 | 0 | 6071 | -9.0238 | -70.812 | 2020-06-01 02:32:46 | Acre, Brazil | ||
1793792 | 2020-05-31 | Brazil | Alagoas | 10288 | 443 | 0 | 9845 | -9.5713 | -36.782 | 2020-06-01 02:32:46 | Alagoas, Brazil | ||
1793794 | 2020-05-31 | Brazil | Amapa | 9602 | 222 | 0 | 9380 | 0.902 | -52.003 | 2020-06-01 02:32:46 | Amapa, Brazil | ||
1793795 | 2020-05-31 | Brazil | Amazonas | 41378 | 2052 | 0 | 39326 | -3.4168 | -65.8561 | 2020-06-01 02:32:46 | Amazonas, Brazil | ||
1793819 | 2020-05-31 | Brazil | Bahia | 18392 | 667 | 0 | 17725 | -12.5797 | -41.7007 | 2020-06-01 02:32:46 | Bahia, Brazil | ||
1793853 | 2020-05-31 | Brazil | Ceara | 48489 | 3010 | 0 | 45479 | -5.4984 | -39.3206 | 2020-06-01 02:32:46 | Ceara, Brazil | ||
1793872 | 2020-05-31 | Brazil | Distrito Federal | 9780 | 170 | 0 | 9610 | -15.7998 | -47.8645 | 2020-06-01 02:32:46 | Distrito Federal, Brazil | ||
1793876 | 2020-05-31 | Brazil | Espirito Santo | 13690 | 604 | 0 | 13086 | -19.1834 | -40.3089 | 2020-06-01 02:32:46 | Espirito Santo, Brazil | ||
1793891 | 2020-05-31 | Brazil | Goias | 3726 | 124 | 0 | 3578 | -15.827 | -49.8362 | 2020-06-01 02:32:46 | Goias, Brazil | ||
1793954 | 2020-05-31 | Brazil | Maranhao | 35297 | 976 | 0 | 33684 | -4.9609 | -45.2744 | 2020-06-01 02:32:46 | Maranhao, Brazil | ||
1793957 | 2020-05-31 | Brazil | Mato Grosso | 2485 | 63 | 0 | 2368 | -12.6819 | -56.9211 | 2020-06-01 02:32:46 | Mato Grosso, Brazil | ||
1793958 | 2020-05-31 | Brazil | Mato Grosso do Sul | 1568 | 20 | 0 | 1469 | -20.7722 | -54.7852 | 2020-06-01 02:32:46 | Mato Grosso do Sul, Brazil | ||
1793968 | 2020-05-31 | Brazil | Minas Gerais | 10464 | 271 | 0 | 10193 | -18.5122 | -44.555 | 2020-06-01 02:32:46 | Minas Gerais, Brazil | ||
1794008 | 2020-05-31 | Brazil | Para | 37961 | 2923 | 0 | 35038 | -1.9981 | -54.9306 | 2020-06-01 02:32:46 | Para, Brazil | ||
1794009 | 2020-05-31 | Brazil | Paraiba | 13162 | 360 | 0 | 12802 | -7.24 | -36.782 | 2020-06-01 02:32:46 | Paraiba, Brazil | ||
1794010 | 2020-05-31 | Brazil | Parana | 4752 | 187 | 0 | 4505 | -25.2521 | -52.0215 | 2020-06-01 02:32:46 | Parana, Brazil | ||
1794012 | 2020-05-31 | Brazil | Pernambuco | 34450 | 2807 | 0 | 31643 | -8.8137 | -36.9541 | 2020-06-01 02:32:46 | Pernambuco, Brazil | ||
1794013 | 2020-05-31 | Brazil | Piaui | 5119 | 168 | 0 | 4770 | -7.7183 | -42.7289 | 2020-06-01 02:32:46 | Piaui, Brazil | ||
1794032 | 2020-05-31 | Brazil | Rio Grande do Norte | 8051 | 323 | 0 | 7746 | -5.4026 | -36.9541 | 2020-06-01 02:32:46 | Rio Grande do Norte, Brazil | ||
1794033 | 2020-05-31 | Brazil | Rio Grande do Sul | 9332 | 224 | 0 | 9108 | -30.0346 | -51.2177 | 2020-06-01 02:32:46 | Rio Grande do Sul, Brazil | ||
1794034 | 2020-05-31 | Brazil | Rio de Janeiro | 53388 | 5344 | 0 | 48044 | -22.9068 | -43.1729 | 2020-06-01 02:32:46 | Rio de Janeiro, Brazil | ||
1794036 | 2020-05-31 | Brazil | Rondonia | 4942 | 156 | 0 | 4786 | -11.5057 | -63.5806 | 2020-06-01 02:32:46 | Rondonia, Brazil | ||
1794037 | 2020-05-31 | Brazil | Roraima | 3692 | 116 | 0 | 3358 | -2.7376 | -62.0751 | 2020-06-01 02:32:46 | Roraima, Brazil | ||
1794049 | 2020-05-31 | Brazil | Santa Catarina | 9037 | 143 | 0 | 8894 | -27.2423 | -50.2189 | 2020-06-01 02:32:46 | Santa Catarina, Brazil | ||
1794051 | 2020-05-31 | Brazil | Sao Paulo | 109698 | 7615 | 0 | 102083 | -23.5505 | -46.6333 | 2020-06-01 02:32:46 | Sao Paulo, Brazil | ||
1794055 | 2020-05-31 | Brazil | Sergipe | 6999 | 158 | 0 | 6841 | -10.5741 | -37.3857 | 2020-06-01 02:32:46 | Sergipe, Brazil | ||
1794080 | 2020-05-31 | Brazil | Tocantins | 4176 | 73 | 0 | 4103 | -10.1753 | -48.2982 | 2020-06-01 02:32:46 | Tocantins, Brazil | ||
1794092 | 2020-05-31 | Brazil | Unknown | 0 | 0 | 206555 | 0 | 2020-06-01 02:32:46 | Unknown, Brazil |