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 2022-12-03 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
833340 | 833340 | 2022-12-02 | Brazil | Acre | 154223 | 2029 | 0 | -9.0238 | -70.812 | 2022-12-03 04:21:02 | Acre, Brazil | |||
833341 | 833341 | 2022-12-02 | Brazil | Alagoas | 325578 | 7144 | 0 | -9.5713 | -36.782 | 2022-12-03 04:21:02 | Alagoas, Brazil | |||
833342 | 833342 | 2022-12-02 | Brazil | Amapa | 181588 | 2165 | 0 | 0.902 | -52.003 | 2022-12-03 04:21:02 | Amapa, Brazil | |||
833343 | 833343 | 2022-12-02 | Brazil | Amazonas | 623771 | 14397 | 0 | -3.4168 | -65.8561 | 2022-12-03 04:21:02 | Amazonas, Brazil | |||
833344 | 833344 | 2022-12-02 | Brazil | Bahia | 1724041 | 30877 | 0 | -12.5797 | -41.7007 | 2022-12-03 04:21:02 | Bahia, Brazil | |||
833345 | 833345 | 2022-12-02 | Brazil | Ceara | 1404735 | 28019 | 0 | -5.4984 | -39.3206 | 2022-12-03 04:21:02 | Ceara, Brazil | |||
833346 | 833346 | 2022-12-02 | Brazil | Distrito Federal | 854927 | 11835 | 0 | -15.7998 | -47.8645 | 2022-12-03 04:21:02 | Distrito Federal, Brazil | |||
833347 | 833347 | 2022-12-02 | Brazil | Espirito Santo | 1249895 | 14855 | 0 | -19.1834 | -40.3089 | 2022-12-03 04:21:02 | Espirito Santo, Brazil | |||
833348 | 833348 | 2022-12-02 | Brazil | Goias | 1744996 | 27636 | 0 | -15.827 | -49.8362 | 2022-12-03 04:21:02 | Goias, Brazil | |||
833349 | 833349 | 2022-12-02 | Brazil | Maranhao | 483414 | 11008 | 0 | -4.9609 | -45.2744 | 2022-12-03 04:21:02 | Maranhao, Brazil | |||
833350 | 833350 | 2022-12-02 | Brazil | Mato Grosso | 835676 | 14967 | 0 | -12.6819 | -56.9211 | 2022-12-03 04:21:02 | Mato Grosso, Brazil | |||
833351 | 833351 | 2022-12-02 | Brazil | Mato Grosso do Sul | 584820 | 10855 | 0 | -20.7722 | -54.7852 | 2022-12-03 04:21:02 | Mato Grosso do Sul, Brazil | |||
833352 | 833352 | 2022-12-02 | Brazil | Minas Gerais | 3932622 | 63995 | 0 | -18.5122 | -44.555 | 2022-12-03 04:21:02 | Minas Gerais, Brazil | |||
833353 | 833353 | 2022-12-02 | Brazil | Para | 852849 | 18925 | 0 | -1.9981 | -54.9306 | 2022-12-03 04:21:02 | Para, Brazil | |||
833354 | 833354 | 2022-12-02 | Brazil | Paraiba | 674503 | 10458 | 0 | -7.24 | -36.782 | 2022-12-03 04:21:02 | Paraiba, Brazil | |||
833355 | 833355 | 2022-12-02 | Brazil | Parana | 2784000 | 45515 | 0 | -25.2521 | -52.0215 | 2022-12-03 04:21:02 | Parana, Brazil | |||
833356 | 833356 | 2022-12-02 | Brazil | Pernambuco | 1089123 | 22482 | 0 | -8.8137 | -36.9541 | 2022-12-03 04:21:02 | Pernambuco, Brazil | |||
833357 | 833357 | 2022-12-02 | Brazil | Piaui | 405723 | 7969 | 0 | -7.7183 | -42.7289 | 2022-12-03 04:21:02 | Piaui, Brazil | |||
833358 | 833358 | 2022-12-02 | Brazil | Rio Grande do Norte | 566874 | 8500 | 0 | -5.4026 | -36.9541 | 2022-12-03 04:21:02 | Rio Grande do Norte, Brazil | |||
833359 | 833359 | 2022-12-02 | Brazil | Rio Grande do Sul | 2775928 | 41281 | 0 | -30.0346 | -51.2177 | 2022-12-03 04:21:02 | Rio Grande do Sul, Brazil | |||
833360 | 833360 | 2022-12-02 | Brazil | Rio de Janeiro | 2645642 | 76143 | 0 | -22.9068 | -43.1729 | 2022-12-03 04:21:02 | Rio de Janeiro, Brazil | |||
833361 | 833361 | 2022-12-02 | Brazil | Rondonia | 459519 | 7365 | 0 | -11.5057 | -63.5806 | 2022-12-03 04:21:02 | Rondonia, Brazil | |||
833362 | 833362 | 2022-12-02 | Brazil | Roraima | 179423 | 2176 | 0 | -2.7376 | -62.0751 | 2022-12-03 04:21:02 | Roraima, Brazil | |||
833363 | 833363 | 2022-12-02 | Brazil | Santa Catarina | 1910186 | 22465 | 0 | -27.2423 | -50.2189 | 2022-12-03 04:21:02 | Santa Catarina, Brazil | |||
833364 | 833364 | 2022-12-02 | Brazil | Sao Paulo | 6197738 | 176356 | 0 | -23.5505 | -46.6333 | 2022-12-03 04:21:02 | Sao Paulo, Brazil | |||
833365 | 833365 | 2022-12-02 | Brazil | Sergipe | 348977 | 6449 | 0 | -10.5741 | -37.3857 | 2022-12-03 04:21:02 | Sergipe, Brazil | |||
833366 | 833366 | 2022-12-02 | Brazil | Tocantins | 346775 | 4208 | 0 | -10.1753 | -48.2982 | 2022-12-03 04:21:02 | 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]);