johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
27 rows where country_or_region = "Brazil" and "day" is on date 2022-07-20 sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: day (date)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1607975 | 1607975 | 2022-07-20 | Brazil | Acre | 137490 | 2010 | 0 | -9.0238 | -70.812 | 2022-07-21 04:21:10 | Acre, Brazil | |||
1607976 | 1607976 | 2022-07-20 | Brazil | Alagoas | 315974 | 7034 | 0 | -9.5713 | -36.782 | 2022-07-21 04:21:10 | Alagoas, Brazil | |||
1607977 | 1607977 | 2022-07-20 | Brazil | Amapa | 172766 | 2149 | 0 | 0.902 | -52.003 | 2022-07-21 04:21:10 | Amapa, Brazil | |||
1607978 | 1607978 | 2022-07-20 | Brazil | Amazonas | 598967 | 14202 | 0 | -3.4168 | -65.8561 | 2022-07-21 04:21:10 | Amazonas, Brazil | |||
1607979 | 1607979 | 2022-07-20 | Brazil | Bahia | 1640718 | 30225 | 0 | -12.5797 | -41.7007 | 2022-07-21 04:21:10 | Bahia, Brazil | |||
1607980 | 1607980 | 2022-07-20 | Brazil | Ceara | 1344786 | 27359 | 0 | -5.4984 | -39.3206 | 2022-07-21 04:21:10 | Ceara, Brazil | |||
1607981 | 1607981 | 2022-07-20 | Brazil | Distrito Federal | 826655 | 11811 | 0 | -15.7998 | -47.8645 | 2022-07-21 04:21:10 | Distrito Federal, Brazil | |||
1607982 | 1607982 | 2022-07-20 | Brazil | Espirito Santo | 1188301 | 14625 | 0 | -19.1834 | -40.3089 | 2022-07-21 04:21:10 | Espirito Santo, Brazil | |||
1607983 | 1607983 | 2022-07-20 | Brazil | Goias | 1587584 | 27095 | 0 | -15.827 | -49.8362 | 2022-07-21 04:21:10 | Goias, Brazil | |||
1607984 | 1607984 | 2022-07-20 | Brazil | Maranhao | 454626 | 10921 | 0 | -4.9609 | -45.2744 | 2022-07-21 04:21:10 | Maranhao, Brazil | |||
1607985 | 1607985 | 2022-07-20 | Brazil | Mato Grosso | 798535 | 14826 | 0 | -12.6819 | -56.9211 | 2022-07-21 04:21:10 | Mato Grosso, Brazil | |||
1607986 | 1607986 | 2022-07-20 | Brazil | Mato Grosso do Sul | 560732 | 10681 | 0 | -20.7722 | -54.7852 | 2022-07-21 04:21:10 | Mato Grosso do Sul, Brazil | |||
1607987 | 1607987 | 2022-07-20 | Brazil | Minas Gerais | 3772308 | 62652 | 0 | -18.5122 | -44.555 | 2022-07-21 04:21:10 | Minas Gerais, Brazil | |||
1607988 | 1607988 | 2022-07-20 | Brazil | Para | 797701 | 18500 | 0 | -1.9981 | -54.9306 | 2022-07-21 04:21:10 | Para, Brazil | |||
1607989 | 1607989 | 2022-07-20 | Brazil | Paraiba | 638525 | 10325 | 0 | -7.24 | -36.782 | 2022-07-21 04:21:10 | Paraiba, Brazil | |||
1607990 | 1607990 | 2022-07-20 | Brazil | Parana | 2672737 | 44300 | 0 | -25.2521 | -52.0215 | 2022-07-21 04:21:10 | Parana, Brazil | |||
1607991 | 1607991 | 2022-07-20 | Brazil | Pernambuco | 1016887 | 21984 | 0 | -8.8137 | -36.9541 | 2022-07-21 04:21:10 | Pernambuco, Brazil | |||
1607992 | 1607992 | 2022-07-20 | Brazil | Piaui | 381975 | 7843 | 0 | -7.7183 | -42.7289 | 2022-07-21 04:21:10 | Piaui, Brazil | |||
1607993 | 1607993 | 2022-07-20 | Brazil | Rio Grande do Norte | 542643 | 8326 | 0 | -5.4026 | -36.9541 | 2022-07-21 04:21:10 | Rio Grande do Norte, Brazil | |||
1607994 | 1607994 | 2022-07-20 | Brazil | Rio Grande do Sul | 2611177 | 40333 | 0 | -30.0346 | -51.2177 | 2022-07-21 04:21:10 | Rio Grande do Sul, Brazil | |||
1607995 | 1607995 | 2022-07-20 | Brazil | Rio de Janeiro | 2424146 | 74554 | 0 | -22.9068 | -43.1729 | 2022-07-21 04:21:10 | Rio de Janeiro, Brazil | |||
1607996 | 1607996 | 2022-07-20 | Brazil | Rondonia | 437550 | 7280 | 0 | -11.5057 | -63.5806 | 2022-07-21 04:21:10 | Rondonia, Brazil | |||
1607997 | 1607997 | 2022-07-20 | Brazil | Roraima | 170407 | 2158 | 0 | -2.7376 | -62.0751 | 2022-07-21 04:21:10 | Roraima, Brazil | |||
1607998 | 1607998 | 2022-07-20 | Brazil | Santa Catarina | 1825894 | 22172 | 0 | -27.2423 | -50.2189 | 2022-07-21 04:21:10 | Santa Catarina, Brazil | |||
1607999 | 1607999 | 2022-07-20 | Brazil | Sao Paulo | 5861263 | 172277 | 0 | -23.5505 | -46.6333 | 2022-07-21 04:21:10 | Sao Paulo, Brazil | |||
1608000 | 1608000 | 2022-07-20 | Brazil | Sergipe | 338831 | 6395 | 0 | -10.5741 | -37.3857 | 2022-07-21 04:21:10 | Sergipe, Brazil | |||
1608001 | 1608001 | 2022-07-20 | Brazil | Tocantins | 335116 | 4180 | 0 | -10.1753 | -48.2982 | 2022-07-21 04:21:10 | 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]);