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 2022-09-02 sorted by day descending
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Suggested facets: longitude
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3547219 | 3547219 | 2022-09-01 | Brazil | Acre | 149049 | 2027 | 0 | -9.0238 | -70.812 | 2022-09-02 04:21:07 | Acre, Brazil | |||
3547220 | 3547220 | 2022-09-01 | Brazil | Alagoas | 320343 | 7116 | 0 | -9.5713 | -36.782 | 2022-09-02 04:21:07 | Alagoas, Brazil | |||
3547221 | 3547221 | 2022-09-01 | Brazil | Amapa | 178081 | 2158 | 0 | 0.902 | -52.003 | 2022-09-02 04:21:07 | Amapa, Brazil | |||
3547222 | 3547222 | 2022-09-01 | Brazil | Amazonas | 613705 | 14283 | 0 | -3.4168 | -65.8561 | 2022-09-02 04:21:07 | Amazonas, Brazil | |||
3547223 | 3547223 | 2022-09-01 | Brazil | Bahia | 1685991 | 30643 | 0 | -12.5797 | -41.7007 | 2022-09-02 04:21:07 | Bahia, Brazil | |||
3547224 | 3547224 | 2022-09-01 | Brazil | Ceara | 1380665 | 27566 | 0 | -5.4984 | -39.3206 | 2022-09-02 04:21:07 | Ceara, Brazil | |||
3547225 | 3547225 | 2022-09-01 | Brazil | Distrito Federal | 837304 | 11825 | 0 | -15.7998 | -47.8645 | 2022-09-02 04:21:07 | Distrito Federal, Brazil | |||
3547226 | 3547226 | 2022-09-01 | Brazil | Espirito Santo | 1214365 | 14792 | 0 | -19.1834 | -40.3089 | 2022-09-02 04:21:07 | Espirito Santo, Brazil | |||
3547227 | 3547227 | 2022-09-01 | Brazil | Goias | 1677950 | 27473 | 0 | -15.827 | -49.8362 | 2022-09-02 04:21:07 | Goias, Brazil | |||
3547228 | 3547228 | 2022-09-01 | Brazil | Maranhao | 468777 | 10986 | 0 | -4.9609 | -45.2744 | 2022-09-02 04:21:07 | Maranhao, Brazil | |||
3547229 | 3547229 | 2022-09-01 | Brazil | Mato Grosso | 826378 | 14929 | 0 | -12.6819 | -56.9211 | 2022-09-02 04:21:07 | Mato Grosso, Brazil | |||
3547230 | 3547230 | 2022-09-01 | Brazil | Mato Grosso do Sul | 577749 | 10803 | 0 | -20.7722 | -54.7852 | 2022-09-02 04:21:07 | Mato Grosso do Sul, Brazil | |||
3547231 | 3547231 | 2022-09-01 | Brazil | Minas Gerais | 3870986 | 63557 | 0 | -18.5122 | -44.555 | 2022-09-02 04:21:07 | Minas Gerais, Brazil | |||
3547232 | 3547232 | 2022-09-01 | Brazil | Para | 832101 | 18735 | 0 | -1.9981 | -54.9306 | 2022-09-02 04:21:07 | Para, Brazil | |||
3547233 | 3547233 | 2022-09-01 | Brazil | Paraiba | 651035 | 10398 | 0 | -7.24 | -36.782 | 2022-09-02 04:21:07 | Paraiba, Brazil | |||
3547234 | 3547234 | 2022-09-01 | Brazil | Parana | 2734351 | 45117 | 0 | -25.2521 | -52.0215 | 2022-09-02 04:21:07 | Parana, Brazil | |||
3547235 | 3547235 | 2022-09-01 | Brazil | Pernambuco | 1048124 | 22207 | 0 | -8.8137 | -36.9541 | 2022-09-02 04:21:07 | Pernambuco, Brazil | |||
3547236 | 3547236 | 2022-09-01 | Brazil | Piaui | 397774 | 7937 | 0 | -7.7183 | -42.7289 | 2022-09-02 04:21:07 | Piaui, Brazil | |||
3547237 | 3547237 | 2022-09-01 | Brazil | Rio Grande do Norte | 551703 | 8444 | 0 | -5.4026 | -36.9541 | 2022-09-02 04:21:07 | Rio Grande do Norte, Brazil | |||
3547238 | 3547238 | 2022-09-01 | Brazil | Rio Grande do Sul | 2711742 | 40864 | 0 | -30.0346 | -51.2177 | 2022-09-02 04:21:07 | Rio Grande do Sul, Brazil | |||
3547239 | 3547239 | 2022-09-01 | Brazil | Rio de Janeiro | 2491419 | 75438 | 0 | -22.9068 | -43.1729 | 2022-09-02 04:21:07 | Rio de Janeiro, Brazil | |||
3547240 | 3547240 | 2022-09-01 | Brazil | Rondonia | 454626 | 7351 | 0 | -11.5057 | -63.5806 | 2022-09-02 04:21:07 | Rondonia, Brazil | |||
3547241 | 3547241 | 2022-09-01 | Brazil | Roraima | 174701 | 2172 | 0 | -2.7376 | -62.0751 | 2022-09-02 04:21:07 | Roraima, Brazil | |||
3547242 | 3547242 | 2022-09-01 | Brazil | Santa Catarina | 1863980 | 22359 | 0 | -27.2423 | -50.2189 | 2022-09-02 04:21:07 | Santa Catarina, Brazil | |||
3547243 | 3547243 | 2022-09-01 | Brazil | Sao Paulo | 6030546 | 174159 | 0 | -23.5505 | -46.6333 | 2022-09-02 04:21:07 | Sao Paulo, Brazil | |||
3547244 | 3547244 | 2022-09-01 | Brazil | Sergipe | 342732 | 6430 | 0 | -10.5741 | -37.3857 | 2022-09-02 04:21:07 | Sergipe, Brazil | |||
3547245 | 3547245 | 2022-09-01 | Brazil | Tocantins | 343676 | 4196 | 0 | -10.1753 | -48.2982 | 2022-09-02 04:21:07 | 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]);