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 2022-10-14 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3753186 | 3753186 | 2022-10-13 | Brazil | Acre | 149756 | 2029 | 0 | -9.0238 | -70.812 | 2022-10-14 04:22:28 | Acre, Brazil | |||
3753187 | 3753187 | 2022-10-13 | Brazil | Alagoas | 321302 | 7128 | 0 | -9.5713 | -36.782 | 2022-10-14 04:22:28 | Alagoas, Brazil | |||
3753188 | 3753188 | 2022-10-13 | Brazil | Amapa | 178314 | 2164 | 0 | 0.902 | -52.003 | 2022-10-14 04:22:28 | Amapa, Brazil | |||
3753189 | 3753189 | 2022-10-13 | Brazil | Amazonas | 616708 | 14341 | 0 | -3.4168 | -65.8561 | 2022-10-14 04:22:28 | Amazonas, Brazil | |||
3753190 | 3753190 | 2022-10-13 | Brazil | Bahia | 1700520 | 30732 | 0 | -12.5797 | -41.7007 | 2022-10-14 04:22:28 | Bahia, Brazil | |||
3753191 | 3753191 | 2022-10-13 | Brazil | Ceara | 1385261 | 27729 | 0 | -5.4984 | -39.3206 | 2022-10-14 04:22:28 | Ceara, Brazil | |||
3753192 | 3753192 | 2022-10-13 | Brazil | Distrito Federal | 839703 | 11831 | 0 | -15.7998 | -47.8645 | 2022-10-14 04:22:28 | Distrito Federal, Brazil | |||
3753193 | 3753193 | 2022-10-13 | Brazil | Espirito Santo | 1216039 | 14825 | 0 | -19.1834 | -40.3089 | 2022-10-14 04:22:28 | Espirito Santo, Brazil | |||
3753194 | 3753194 | 2022-10-13 | Brazil | Goias | 1713494 | 27550 | 0 | -15.827 | -49.8362 | 2022-10-14 04:22:28 | Goias, Brazil | |||
3753195 | 3753195 | 2022-10-13 | Brazil | Maranhao | 473141 | 10993 | 0 | -4.9609 | -45.2744 | 2022-10-14 04:22:28 | Maranhao, Brazil | |||
3753196 | 3753196 | 2022-10-13 | Brazil | Mato Grosso | 831444 | 14950 | 0 | -12.6819 | -56.9211 | 2022-10-14 04:22:28 | Mato Grosso, Brazil | |||
3753197 | 3753197 | 2022-10-13 | Brazil | Mato Grosso do Sul | 581499 | 10838 | 0 | -20.7722 | -54.7852 | 2022-10-14 04:22:28 | Mato Grosso do Sul, Brazil | |||
3753198 | 3753198 | 2022-10-13 | Brazil | Minas Gerais | 3881881 | 63827 | 0 | -18.5122 | -44.555 | 2022-10-14 04:22:28 | Minas Gerais, Brazil | |||
3753199 | 3753199 | 2022-10-13 | Brazil | Para | 841817 | 18872 | 0 | -1.9981 | -54.9306 | 2022-10-14 04:22:28 | Para, Brazil | |||
3753200 | 3753200 | 2022-10-13 | Brazil | Paraiba | 653706 | 10404 | 0 | -7.24 | -36.782 | 2022-10-14 04:22:28 | Paraiba, Brazil | |||
3753201 | 3753201 | 2022-10-13 | Brazil | Parana | 2750600 | 45372 | 0 | -25.2521 | -52.0215 | 2022-10-14 04:22:28 | Parana, Brazil | |||
3753202 | 3753202 | 2022-10-13 | Brazil | Pernambuco | 1061066 | 22339 | 0 | -8.8137 | -36.9541 | 2022-10-14 04:22:28 | Pernambuco, Brazil | |||
3753203 | 3753203 | 2022-10-13 | Brazil | Piaui | 403697 | 7956 | 0 | -7.7183 | -42.7289 | 2022-10-14 04:22:28 | Piaui, Brazil | |||
3753204 | 3753204 | 2022-10-13 | Brazil | Rio Grande do Norte | 557297 | 8470 | 0 | -5.4026 | -36.9541 | 2022-10-14 04:22:28 | Rio Grande do Norte, Brazil | |||
3753205 | 3753205 | 2022-10-13 | Brazil | Rio Grande do Sul | 2739245 | 41150 | 0 | -30.0346 | -51.2177 | 2022-10-14 04:22:28 | Rio Grande do Sul, Brazil | |||
3753206 | 3753206 | 2022-10-13 | Brazil | Rio de Janeiro | 2525238 | 75755 | 0 | -22.9068 | -43.1729 | 2022-10-14 04:22:28 | Rio de Janeiro, Brazil | |||
3753207 | 3753207 | 2022-10-13 | Brazil | Rondonia | 457154 | 7361 | 0 | -11.5057 | -63.5806 | 2022-10-14 04:22:28 | Rondonia, Brazil | |||
3753208 | 3753208 | 2022-10-13 | Brazil | Roraima | 175182 | 2173 | 0 | -2.7376 | -62.0751 | 2022-10-14 04:22:28 | Roraima, Brazil | |||
3753209 | 3753209 | 2022-10-13 | Brazil | Santa Catarina | 1879956 | 22414 | 0 | -27.2423 | -50.2189 | 2022-10-14 04:22:28 | Santa Catarina, Brazil | |||
3753210 | 3753210 | 2022-10-13 | Brazil | Sao Paulo | 6118357 | 175222 | 0 | -23.5505 | -46.6333 | 2022-10-14 04:22:28 | Sao Paulo, Brazil | |||
3753211 | 3753211 | 2022-10-13 | Brazil | Sergipe | 342904 | 6439 | 0 | -10.5741 | -37.3857 | 2022-10-14 04:22:28 | Sergipe, Brazil | |||
3753212 | 3753212 | 2022-10-13 | Brazil | Tocantins | 344584 | 4205 | 0 | -10.1753 | -48.2982 | 2022-10-14 04:22:28 | 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]);