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 2022-07-29 sorted by day descending
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1065590 | 1065590 | 2022-07-28 | Brazil | Acre | 142751 | 2018 | 0 | -9.0238 | -70.812 | 2022-07-29 04:20:45 | Acre, Brazil | |||
1065591 | 1065591 | 2022-07-28 | Brazil | Alagoas | 317538 | 7064 | 0 | -9.5713 | -36.782 | 2022-07-29 04:20:45 | Alagoas, Brazil | |||
1065592 | 1065592 | 2022-07-28 | Brazil | Amapa | 175956 | 2149 | 0 | 0.902 | -52.003 | 2022-07-29 04:20:45 | Amapa, Brazil | |||
1065593 | 1065593 | 2022-07-28 | Brazil | Amazonas | 604468 | 14220 | 0 | -3.4168 | -65.8561 | 2022-07-29 04:20:45 | Amazonas, Brazil | |||
1065594 | 1065594 | 2022-07-28 | Brazil | Bahia | 1656734 | 30336 | 0 | -12.5797 | -41.7007 | 2022-07-29 04:20:45 | Bahia, Brazil | |||
1065595 | 1065595 | 2022-07-28 | Brazil | Ceara | 1358854 | 27409 | 0 | -5.4984 | -39.3206 | 2022-07-29 04:20:45 | Ceara, Brazil | |||
1065596 | 1065596 | 2022-07-28 | Brazil | Distrito Federal | 830084 | 11818 | 0 | -15.7998 | -47.8645 | 2022-07-29 04:20:45 | Distrito Federal, Brazil | |||
1065597 | 1065597 | 2022-07-28 | Brazil | Espirito Santo | 1200787 | 14683 | 0 | -19.1834 | -40.3089 | 2022-07-29 04:20:45 | Espirito Santo, Brazil | |||
1065598 | 1065598 | 2022-07-28 | Brazil | Goias | 1605642 | 27170 | 0 | -15.827 | -49.8362 | 2022-07-29 04:20:45 | Goias, Brazil | |||
1065599 | 1065599 | 2022-07-28 | Brazil | Maranhao | 459652 | 10937 | 0 | -4.9609 | -45.2744 | 2022-07-29 04:20:45 | Maranhao, Brazil | |||
1065600 | 1065600 | 2022-07-28 | Brazil | Mato Grosso | 810426 | 14859 | 0 | -12.6819 | -56.9211 | 2022-07-29 04:20:45 | Mato Grosso, Brazil | |||
1065601 | 1065601 | 2022-07-28 | Brazil | Mato Grosso do Sul | 563702 | 10707 | 0 | -20.7722 | -54.7852 | 2022-07-29 04:20:45 | Mato Grosso do Sul, Brazil | |||
1065602 | 1065602 | 2022-07-28 | Brazil | Minas Gerais | 3809396 | 62866 | 0 | -18.5122 | -44.555 | 2022-07-29 04:20:45 | Minas Gerais, Brazil | |||
1065603 | 1065603 | 2022-07-28 | Brazil | Para | 806900 | 18527 | 0 | -1.9981 | -54.9306 | 2022-07-29 04:20:45 | Para, Brazil | |||
1065604 | 1065604 | 2022-07-28 | Brazil | Paraiba | 644168 | 10349 | 0 | -7.24 | -36.782 | 2022-07-29 04:20:45 | Paraiba, Brazil | |||
1065605 | 1065605 | 2022-07-28 | Brazil | Parana | 2688617 | 44414 | 0 | -25.2521 | -52.0215 | 2022-07-29 04:20:45 | Parana, Brazil | |||
1065606 | 1065606 | 2022-07-28 | Brazil | Pernambuco | 1026901 | 22030 | 0 | -8.8137 | -36.9541 | 2022-07-29 04:20:45 | Pernambuco, Brazil | |||
1065607 | 1065607 | 2022-07-28 | Brazil | Piaui | 385385 | 7874 | 0 | -7.7183 | -42.7289 | 2022-07-29 04:20:45 | Piaui, Brazil | |||
1065608 | 1065608 | 2022-07-28 | Brazil | Rio Grande do Norte | 546065 | 8380 | 0 | -5.4026 | -36.9541 | 2022-07-29 04:20:45 | Rio Grande do Norte, Brazil | |||
1065609 | 1065609 | 2022-07-28 | Brazil | Rio Grande do Sul | 2636801 | 40427 | 0 | -30.0346 | -51.2177 | 2022-07-29 04:20:45 | Rio Grande do Sul, Brazil | |||
1065610 | 1065610 | 2022-07-28 | Brazil | Rio de Janeiro | 2442491 | 74758 | 0 | -22.9068 | -43.1729 | 2022-07-29 04:20:45 | Rio de Janeiro, Brazil | |||
1065611 | 1065611 | 2022-07-28 | Brazil | Rondonia | 443074 | 7295 | 0 | -11.5057 | -63.5806 | 2022-07-29 04:20:45 | Rondonia, Brazil | |||
1065612 | 1065612 | 2022-07-28 | Brazil | Roraima | 172358 | 2158 | 0 | -2.7376 | -62.0751 | 2022-07-29 04:20:45 | Roraima, Brazil | |||
1065613 | 1065613 | 2022-07-28 | Brazil | Santa Catarina | 1836266 | 22210 | 0 | -27.2423 | -50.2189 | 2022-07-29 04:20:45 | Santa Catarina, Brazil | |||
1065614 | 1065614 | 2022-07-28 | Brazil | Sao Paulo | 5904845 | 172816 | 0 | -23.5505 | -46.6333 | 2022-07-29 04:20:45 | Sao Paulo, Brazil | |||
1065615 | 1065615 | 2022-07-28 | Brazil | Sergipe | 340593 | 6411 | 0 | -10.5741 | -37.3857 | 2022-07-29 04:20:45 | Sergipe, Brazil | |||
1065616 | 1065616 | 2022-07-28 | Brazil | Tocantins | 338531 | 4184 | 0 | -10.1753 | -48.2982 | 2022-07-29 04:20:45 | Tocantins, Brazil |
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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]);