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 2022-05-10 sorted by day descending
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Suggested facets: last_update (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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3535173 | 3535173 | 2022-05-10 | Brazil | Acre | 124969 | 2002 | 0 | -9.0238 | -70.812 | 2022-05-11 04:20:48 | Acre, Brazil | |||
3535174 | 3535174 | 2022-05-10 | Brazil | Alagoas | 298475 | 6933 | 0 | -9.5713 | -36.782 | 2022-05-11 04:20:48 | Alagoas, Brazil | |||
3535175 | 3535175 | 2022-05-10 | Brazil | Amapa | 160401 | 2132 | 0 | 0.902 | -52.003 | 2022-05-11 04:20:48 | Amapa, Brazil | |||
3535176 | 3535176 | 2022-05-10 | Brazil | Amazonas | 582418 | 14172 | 0 | -3.4168 | -65.8561 | 2022-05-11 04:20:48 | Amazonas, Brazil | |||
3535177 | 3535177 | 2022-05-10 | Brazil | Bahia | 1544882 | 29885 | 0 | -12.5797 | -41.7007 | 2022-05-11 04:20:48 | Bahia, Brazil | |||
3535178 | 3535178 | 2022-05-10 | Brazil | Ceara | 1244956 | 26960 | 0 | -5.4984 | -39.3206 | 2022-05-11 04:20:48 | Ceara, Brazil | |||
3535179 | 3535179 | 2022-05-10 | Brazil | Distrito Federal | 698009 | 11664 | 0 | -15.7998 | -47.8645 | 2022-05-11 04:20:48 | Distrito Federal, Brazil | |||
3535180 | 3535180 | 2022-05-10 | Brazil | Espirito Santo | 1047786 | 14396 | 0 | -19.1834 | -40.3089 | 2022-05-11 04:20:48 | Espirito Santo, Brazil | |||
3535181 | 3535181 | 2022-05-10 | Brazil | Goias | 1338960 | 26544 | 0 | -15.827 | -49.8362 | 2022-05-11 04:20:48 | Goias, Brazil | |||
3535182 | 3535182 | 2022-05-10 | Brazil | Maranhao | 434732 | 10887 | 0 | -4.9609 | -45.2744 | 2022-05-11 04:20:48 | Maranhao, Brazil | |||
3535183 | 3535183 | 2022-05-10 | Brazil | Mato Grosso | 729579 | 14854 | 0 | -12.6819 | -56.9211 | 2022-05-11 04:20:48 | Mato Grosso, Brazil | |||
3535184 | 3535184 | 2022-05-10 | Brazil | Mato Grosso do Sul | 530325 | 10543 | 0 | -20.7722 | -54.7852 | 2022-05-11 04:20:48 | Mato Grosso do Sul, Brazil | |||
3535185 | 3535185 | 2022-05-10 | Brazil | Minas Gerais | 3364576 | 61391 | 0 | -18.5122 | -44.555 | 2022-05-11 04:20:48 | Minas Gerais, Brazil | |||
3535186 | 3535186 | 2022-05-10 | Brazil | Para | 769504 | 18307 | 0 | -1.9981 | -54.9306 | 2022-05-11 04:20:48 | Para, Brazil | |||
3535187 | 3535187 | 2022-05-10 | Brazil | Paraiba | 602966 | 10215 | 0 | -7.24 | -36.782 | 2022-05-11 04:20:48 | Paraiba, Brazil | |||
3535188 | 3535188 | 2022-05-10 | Brazil | Parana | 2475309 | 43151 | 0 | -25.2521 | -52.0215 | 2022-05-11 04:20:48 | Parana, Brazil | |||
3535189 | 3535189 | 2022-05-10 | Brazil | Pernambuco | 928421 | 21645 | 0 | -8.8137 | -36.9541 | 2022-05-11 04:20:48 | Pernambuco, Brazil | |||
3535190 | 3535190 | 2022-05-10 | Brazil | Piaui | 368046 | 7738 | 0 | -7.7183 | -42.7289 | 2022-05-11 04:20:48 | Piaui, Brazil | |||
3535191 | 3535191 | 2022-05-10 | Brazil | Rio Grande do Norte | 503862 | 8196 | 0 | -5.4026 | -36.9541 | 2022-05-11 04:20:48 | Rio Grande do Norte, Brazil | |||
3535192 | 3535192 | 2022-05-10 | Brazil | Rio Grande do Sul | 2358757 | 39340 | 0 | -30.0346 | -51.2177 | 2022-05-11 04:20:48 | Rio Grande do Sul, Brazil | |||
3535193 | 3535193 | 2022-05-10 | Brazil | Rio de Janeiro | 2155817 | 73603 | 0 | -22.9068 | -43.1729 | 2022-05-11 04:20:48 | Rio de Janeiro, Brazil | |||
3535194 | 3535194 | 2022-05-10 | Brazil | Rondonia | 402620 | 7208 | 0 | -11.5057 | -63.5806 | 2022-05-11 04:20:48 | Rondonia, Brazil | |||
3535195 | 3535195 | 2022-05-10 | Brazil | Roraima | 155533 | 2151 | 0 | -2.7376 | -62.0751 | 2022-05-11 04:20:48 | Roraima, Brazil | |||
3535196 | 3535196 | 2022-05-10 | Brazil | Santa Catarina | 1711721 | 21792 | 0 | -27.2423 | -50.2189 | 2022-05-11 04:20:48 | Santa Catarina, Brazil | |||
3535197 | 3535197 | 2022-05-10 | Brazil | Sao Paulo | 5429696 | 168416 | 0 | -23.5505 | -46.6333 | 2022-05-11 04:20:48 | Sao Paulo, Brazil | |||
3535198 | 3535198 | 2022-05-10 | Brazil | Sergipe | 327179 | 6345 | 0 | -10.5741 | -37.3857 | 2022-05-11 04:20:48 | Sergipe, Brazil | |||
3535199 | 3535199 | 2022-05-10 | Brazil | Tocantins | 304889 | 4154 | 0 | -10.1753 | -48.2982 | 2022-05-11 04:20:48 | 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]);