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 2022-02-18 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3855546 | 3855546 | 2022-02-18 | Brazil | Acre | 116210 | 1949 | 0 | -9.0238 | -70.812 | 2022-02-19 04:21:11 | Acre, Brazil | |||
3855547 | 3855547 | 2022-02-18 | Brazil | Alagoas | 288183 | 6577 | 0 | -9.5713 | -36.782 | 2022-02-19 04:21:11 | Alagoas, Brazil | |||
3855548 | 3855548 | 2022-02-18 | Brazil | Amapa | 159832 | 2097 | 0 | 0.902 | -52.003 | 2022-02-19 04:21:11 | Amapa, Brazil | |||
3855549 | 3855549 | 2022-02-18 | Brazil | Amazonas | 567973 | 14086 | 0 | -3.4168 | -65.8561 | 2022-02-19 04:21:11 | Amazonas, Brazil | |||
3855550 | 3855550 | 2022-02-18 | Brazil | Bahia | 1481596 | 28854 | 0 | -12.5797 | -41.7007 | 2022-02-19 04:21:11 | Bahia, Brazil | |||
3855551 | 3855551 | 2022-02-18 | Brazil | Ceara | 1214933 | 25990 | 0 | -5.4984 | -39.3206 | 2022-02-19 04:21:11 | Ceara, Brazil | |||
3855552 | 3855552 | 2022-02-18 | Brazil | Distrito Federal | 671405 | 11343 | 0 | -15.7998 | -47.8645 | 2022-02-19 04:21:11 | Distrito Federal, Brazil | |||
3855553 | 3855553 | 2022-02-18 | Brazil | Espirito Santo | 1004733 | 13995 | 0 | -19.1834 | -40.3089 | 2022-02-19 04:21:11 | Espirito Santo, Brazil | |||
3855554 | 3855554 | 2022-02-18 | Brazil | Goias | 1135829 | 25495 | 0 | -15.827 | -49.8362 | 2022-02-19 04:21:11 | Goias, Brazil | |||
3855555 | 3855555 | 2022-02-18 | Brazil | Maranhao | 406369 | 10672 | 0 | -4.9609 | -45.2744 | 2022-02-19 04:21:11 | Maranhao, Brazil | |||
3855556 | 3855556 | 2022-02-18 | Brazil | Mato Grosso | 690906 | 14620 | 0 | -12.6819 | -56.9211 | 2022-02-19 04:21:11 | Mato Grosso, Brazil | |||
3855557 | 3855557 | 2022-02-18 | Brazil | Mato Grosso do Sul | 478055 | 10183 | 0 | -20.7722 | -54.7852 | 2022-02-19 04:21:11 | Mato Grosso do Sul, Brazil | |||
3855558 | 3855558 | 2022-02-18 | Brazil | Minas Gerais | 3080876 | 58873 | 0 | -18.5122 | -44.555 | 2022-02-19 04:21:11 | Minas Gerais, Brazil | |||
3855559 | 3855559 | 2022-02-18 | Brazil | Para | 700232 | 17658 | 0 | -1.9981 | -54.9306 | 2022-02-19 04:21:11 | Para, Brazil | |||
3855560 | 3855560 | 2022-02-18 | Brazil | Paraiba | 558170 | 10015 | 0 | -7.24 | -36.782 | 2022-02-19 04:21:11 | Paraiba, Brazil | |||
3855561 | 3855561 | 2022-02-18 | Brazil | Parana | 2257132 | 41998 | 0 | -25.2521 | -52.0215 | 2022-02-19 04:21:11 | Parana, Brazil | |||
3855562 | 3855562 | 2022-02-18 | Brazil | Pernambuco | 787902 | 20905 | 0 | -8.8137 | -36.9541 | 2022-02-19 04:21:11 | Pernambuco, Brazil | |||
3855563 | 3855563 | 2022-02-18 | Brazil | Piaui | 362031 | 7599 | 0 | -7.7183 | -42.7289 | 2022-02-19 04:21:11 | Piaui, Brazil | |||
3855564 | 3855564 | 2022-02-18 | Brazil | Rio Grande do Norte | 467279 | 7978 | 0 | -5.4026 | -36.9541 | 2022-02-19 04:21:11 | Rio Grande do Norte, Brazil | |||
3855565 | 3855565 | 2022-02-18 | Brazil | Rio Grande do Sul | 2079492 | 37846 | 0 | -30.0346 | -51.2177 | 2022-02-19 04:21:11 | Rio Grande do Sul, Brazil | |||
3855566 | 3855566 | 2022-02-18 | Brazil | Rio de Janeiro | 1949779 | 71232 | 0 | -22.9068 | -43.1729 | 2022-02-19 04:21:11 | Rio de Janeiro, Brazil | |||
3855567 | 3855567 | 2022-02-18 | Brazil | Rondonia | 360405 | 7008 | 0 | -11.5057 | -63.5806 | 2022-02-19 04:21:11 | Rondonia, Brazil | |||
3855568 | 3855568 | 2022-02-18 | Brazil | Roraima | 151138 | 2124 | 0 | -2.7376 | -62.0751 | 2022-02-19 04:21:11 | Roraima, Brazil | |||
3855569 | 3855569 | 2022-02-18 | Brazil | Santa Catarina | 1576894 | 21162 | 0 | -27.2423 | -50.2189 | 2022-02-19 04:21:11 | Santa Catarina, Brazil | |||
3855570 | 3855570 | 2022-02-18 | Brazil | Sao Paulo | 4913098 | 162797 | 0 | -23.5505 | -46.6333 | 2022-02-19 04:21:11 | Sao Paulo, Brazil | |||
3855571 | 3855571 | 2022-02-18 | Brazil | Sergipe | 317786 | 6203 | 0 | -10.5741 | -37.3857 | 2022-02-19 04:21:11 | Sergipe, Brazil | |||
3855572 | 3855572 | 2022-02-18 | Brazil | Tocantins | 294000 | 4081 | 0 | -10.1753 | -48.2982 | 2022-02-19 04:21:11 | 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]);