johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
27 rows where country_or_region = "Brazil" and "last_update" is on date 2020-09-08 sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
province_or_state 27
- Acre 1
- Alagoas 1
- Amapa 1
- Amazonas 1
- Bahia 1
- Ceara 1
- Distrito Federal 1
- Espirito Santo 1
- Goias 1
- Maranhao 1
- Mato Grosso 1
- Mato Grosso do Sul 1
- Minas Gerais 1
- Para 1
- Paraiba 1
- Parana 1
- Pernambuco 1
- Piaui 1
- Rio Grande do Norte 1
- Rio Grande do Sul 1
- Rio de Janeiro 1
- Rondonia 1
- Roraima 1
- Santa Catarina 1
- Sao Paulo 1
- Sergipe 1
- Tocantins 1
country_or_region 1
- Brazil · 27 ✖
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
427068 | 427068 | 2020-09-07 | Brazil | Acre | 25469 | 624 | 20168 | 4677 | -9.0238 | -70.812 | 2020-09-08 04:28:25 | Acre, Brazil | ||
427069 | 427069 | 2020-09-07 | Brazil | Alagoas | 80786 | 1936 | 76382 | 2468 | -9.5713 | -36.782 | 2020-09-08 04:28:25 | Alagoas, Brazil | ||
427070 | 427070 | 2020-09-07 | Brazil | Amapa | 44863 | 673 | 32736 | 11454 | 0.902 | -52.003 | 2020-09-08 04:28:25 | Amapa, Brazil | ||
427071 | 427071 | 2020-09-07 | Brazil | Amazonas | 123905 | 3849 | 105120 | 14936 | -3.4168 | -65.8561 | 2020-09-08 04:28:25 | Amazonas, Brazil | ||
427072 | 427072 | 2020-09-07 | Brazil | Bahia | 271963 | 5693 | 257791 | 8479 | -12.5797 | -41.7007 | 2020-09-08 04:28:25 | Bahia, Brazil | ||
427073 | 427073 | 2020-09-07 | Brazil | Ceara | 222473 | 8567 | 197162 | 16717 | -5.4984 | -39.3206 | 2020-09-08 04:28:25 | Ceara, Brazil | ||
427074 | 427074 | 2020-09-07 | Brazil | Distrito Federal | 170806 | 2720 | 154753 | 13333 | -15.7998 | -47.8645 | 2020-09-08 04:28:25 | Distrito Federal, Brazil | ||
427075 | 427075 | 2020-09-07 | Brazil | Espirito Santo | 115793 | 3268 | 104887 | 7638 | -19.1834 | -40.3089 | 2020-09-08 04:28:25 | Espirito Santo, Brazil | ||
427076 | 427076 | 2020-09-07 | Brazil | Goias | 147933 | 3481 | 138671 | 5582 | -15.827 | -49.8362 | 2020-09-08 04:28:25 | Goias, Brazil | ||
427077 | 427077 | 2020-09-07 | Brazil | Maranhao | 158310 | 3518 | 146103 | 8689 | -4.9609 | -45.2744 | 2020-09-08 04:28:25 | Maranhao, Brazil | ||
427078 | 427078 | 2020-09-07 | Brazil | Mato Grosso | 98709 | 2978 | 79290 | 15984 | -12.6819 | -56.9211 | 2020-09-08 04:28:25 | Mato Grosso, Brazil | ||
427079 | 427079 | 2020-09-07 | Brazil | Mato Grosso do Sul | 54363 | 987 | 44741 | 8414 | -20.7722 | -54.7852 | 2020-09-08 04:28:25 | Mato Grosso do Sul, Brazil | ||
427080 | 427080 | 2020-09-07 | Brazil | Minas Gerais | 236012 | 5851 | 199383 | 30778 | -18.5122 | -44.555 | 2020-09-08 04:28:25 | Minas Gerais, Brazil | ||
427081 | 427081 | 2020-09-07 | Brazil | Para | 208560 | 6269 | 192995 | 9007 | -1.9981 | -54.9306 | 2020-09-08 04:28:25 | Para, Brazil | ||
427082 | 427082 | 2020-09-07 | Brazil | Paraiba | 109706 | 2550 | 81039 | 26117 | -7.24 | -36.782 | 2020-09-08 04:28:25 | Paraiba, Brazil | ||
427083 | 427083 | 2020-09-07 | Brazil | Parana | 143853 | 3577 | 95386 | 44890 | -25.2521 | -52.0215 | 2020-09-08 04:28:25 | Parana, Brazil | ||
427084 | 427084 | 2020-09-07 | Brazil | Pernambuco | 132420 | 7721 | 114990 | 9709 | -8.8137 | -36.9541 | 2020-09-08 04:28:25 | Pernambuco, Brazil | ||
427085 | 427085 | 2020-09-07 | Brazil | Piaui | 82564 | 1915 | 80091 | 290 | -7.7183 | -42.7289 | 2020-09-08 04:28:25 | Piaui, Brazil | ||
427086 | 427086 | 2020-09-07 | Brazil | Rio Grande do Norte | 64097 | 2304 | 38385 | 23131 | -5.4026 | -36.9541 | 2020-09-08 04:28:25 | Rio Grande do Norte, Brazil | ||
427087 | 427087 | 2020-09-07 | Brazil | Rio Grande do Sul | 143952 | 3756 | 131093 | 9103 | -30.0346 | -51.2177 | 2020-09-08 04:28:25 | Rio Grande do Sul, Brazil | ||
427088 | 427088 | 2020-09-07 | Brazil | Rio de Janeiro | 233052 | 16593 | 210761 | 5698 | -22.9068 | -43.1729 | 2020-09-08 04:28:25 | Rio de Janeiro, Brazil | ||
427089 | 427089 | 2020-09-07 | Brazil | Rondonia | 58237 | 1187 | 49385 | 7665 | -11.5057 | -63.5806 | 2020-09-08 04:28:25 | Rondonia, Brazil | ||
427090 | 427090 | 2020-09-07 | Brazil | Roraima | 45302 | 598 | 14732 | 29923 | -2.7376 | -62.0751 | 2020-09-08 04:28:25 | Roraima, Brazil | ||
427091 | 427091 | 2020-09-07 | Brazil | Santa Catarina | 189477 | 2422 | 179189 | 7866 | -27.2423 | -50.2189 | 2020-09-08 04:28:25 | Santa Catarina, Brazil | ||
427092 | 427092 | 2020-09-07 | Brazil | Sao Paulo | 857330 | 31377 | 699451 | 126502 | -23.5505 | -46.6333 | 2020-09-08 04:28:25 | Sao Paulo, Brazil | ||
427093 | 427093 | 2020-09-07 | Brazil | Sergipe | 73846 | 1898 | 66376 | 5572 | -10.5741 | -37.3857 | 2020-09-08 04:28:25 | Sergipe, Brazil | ||
427094 | 427094 | 2020-09-07 | Brazil | Tocantins | 56223 | 758 | 38141 | 17011 | -10.1753 | -48.2982 | 2020-09-08 04:28:25 | Tocantins, Brazil |
Advanced export
JSON shape: default, array, newline-delimited
CREATE TABLE [johns_hopkins_csse_daily_reports] ( [day] TEXT, [country_or_region] TEXT, [province_or_state] TEXT, [admin2] TEXT, [fips] TEXT, [confirmed] INTEGER, [deaths] INTEGER, [recovered] INTEGER, [active] TEXT, [latitude] TEXT, [longitude] TEXT, [last_update] TEXT, [combined_key] TEXT ); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_day] ON [johns_hopkins_csse_daily_reports] ([day]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_province_or_state] ON [johns_hopkins_csse_daily_reports] ([province_or_state]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_country_or_region] ON [johns_hopkins_csse_daily_reports] ([country_or_region]); CREATE INDEX [idx_johns_hopkins_csse_daily_reports_combined_key] ON [johns_hopkins_csse_daily_reports] ([combined_key]);