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 2022-01-14 sorted by day descending
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Suggested facets: longitude, day (date), 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3687193 | 3687193 | 2022-01-13 | Brazil | Acre | 89244 | 1854 | 0 | -9.0238 | -70.812 | 2022-01-14 04:21:54 | Acre, Brazil | |||
3687194 | 3687194 | 2022-01-13 | Brazil | Alagoas | 244561 | 6389 | 0 | -9.5713 | -36.782 | 2022-01-14 04:21:54 | Alagoas, Brazil | |||
3687195 | 3687195 | 2022-01-13 | Brazil | Amapa | 128212 | 2028 | 0 | 0.902 | -52.003 | 2022-01-14 04:21:54 | Amapa, Brazil | |||
3687196 | 3687196 | 2022-01-13 | Brazil | Amazonas | 441260 | 13855 | 0 | -3.4168 | -65.8561 | 2022-01-14 04:21:54 | Amazonas, Brazil | |||
3687197 | 3687197 | 2022-01-13 | Brazil | Bahia | 1283736 | 27642 | 0 | -12.5797 | -41.7007 | 2022-01-14 04:21:54 | Bahia, Brazil | |||
3687198 | 3687198 | 2022-01-13 | Brazil | Ceara | 964566 | 24856 | 0 | -5.4984 | -39.3206 | 2022-01-14 04:21:54 | Ceara, Brazil | |||
3687199 | 3687199 | 2022-01-13 | Brazil | Distrito Federal | 538354 | 11125 | 0 | -15.7998 | -47.8645 | 2022-01-14 04:21:54 | Distrito Federal, Brazil | |||
3687200 | 3687200 | 2022-01-13 | Brazil | Espirito Santo | 653522 | 13363 | 0 | -19.1834 | -40.3089 | 2022-01-14 04:21:54 | Espirito Santo, Brazil | |||
3687201 | 3687201 | 2022-01-13 | Brazil | Goias | 967579 | 24753 | 0 | -15.827 | -49.8362 | 2022-01-14 04:21:54 | Goias, Brazil | |||
3687202 | 3687202 | 2022-01-13 | Brazil | Maranhao | 373578 | 10406 | 0 | -4.9609 | -45.2744 | 2022-01-14 04:21:54 | Maranhao, Brazil | |||
3687203 | 3687203 | 2022-01-13 | Brazil | Mato Grosso | 572022 | 14118 | 0 | -12.6819 | -56.9211 | 2022-01-14 04:21:54 | Mato Grosso, Brazil | |||
3687204 | 3687204 | 2022-01-13 | Brazil | Mato Grosso do Sul | 389880 | 9750 | 0 | -20.7722 | -54.7852 | 2022-01-14 04:21:54 | Mato Grosso do Sul, Brazil | |||
3687205 | 3687205 | 2022-01-13 | Brazil | Minas Gerais | 2311318 | 56768 | 0 | -18.5122 | -44.555 | 2022-01-14 04:21:54 | Minas Gerais, Brazil | |||
3687206 | 3687206 | 2022-01-13 | Brazil | Para | 632264 | 17230 | 0 | -1.9981 | -54.9306 | 2022-01-14 04:21:54 | Para, Brazil | |||
3687207 | 3687207 | 2022-01-13 | Brazil | Paraiba | 466939 | 9613 | 0 | -7.24 | -36.782 | 2022-01-14 04:21:54 | Paraiba, Brazil | |||
3687208 | 3687208 | 2022-01-13 | Brazil | Parana | 1668870 | 40930 | 0 | -25.2521 | -52.0215 | 2022-01-14 04:21:54 | Parana, Brazil | |||
3687209 | 3687209 | 2022-01-13 | Brazil | Pernambuco | 652670 | 20531 | 0 | -8.8137 | -36.9541 | 2022-01-14 04:21:54 | Pernambuco, Brazil | |||
3687210 | 3687210 | 2022-01-13 | Brazil | Piaui | 344753 | 7306 | 0 | -7.7183 | -42.7289 | 2022-01-14 04:21:54 | Piaui, Brazil | |||
3687211 | 3687211 | 2022-01-13 | Brazil | Rio Grande do Norte | 392614 | 7587 | 0 | -5.4026 | -36.9541 | 2022-01-14 04:21:54 | Rio Grande do Norte, Brazil | |||
3687212 | 3687212 | 2022-01-13 | Brazil | Rio Grande do Sul | 1567590 | 36513 | 0 | -30.0346 | -51.2177 | 2022-01-14 04:21:54 | Rio Grande do Sul, Brazil | |||
3687213 | 3687213 | 2022-01-13 | Brazil | Rio de Janeiro | 1422204 | 69565 | 0 | -22.9068 | -43.1729 | 2022-01-14 04:21:54 | Rio de Janeiro, Brazil | |||
3687214 | 3687214 | 2022-01-13 | Brazil | Rondonia | 288595 | 6782 | 0 | -11.5057 | -63.5806 | 2022-01-14 04:21:54 | Rondonia, Brazil | |||
3687215 | 3687215 | 2022-01-13 | Brazil | Roraima | 131529 | 2078 | 0 | -2.7376 | -62.0751 | 2022-01-14 04:21:54 | Roraima, Brazil | |||
3687216 | 3687216 | 2022-01-13 | Brazil | Santa Catarina | 1286298 | 20249 | 0 | -27.2423 | -50.2189 | 2022-01-14 04:21:54 | Santa Catarina, Brazil | |||
3687217 | 3687217 | 2022-01-13 | Brazil | Sao Paulo | 4488929 | 155517 | 0 | -23.5505 | -46.6333 | 2022-01-14 04:21:54 | Sao Paulo, Brazil | |||
3687218 | 3687218 | 2022-01-13 | Brazil | Sergipe | 279337 | 6063 | 0 | -10.5741 | -37.3857 | 2022-01-14 04:21:54 | Sergipe, Brazil | |||
3687219 | 3687219 | 2022-01-13 | Brazil | Tocantins | 241753 | 3959 | 0 | -10.1753 | -48.2982 | 2022-01-14 04:21:54 | 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]);