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 2022-12-28 sorted by day descending
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Suggested facets: longitude, 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1073622 | 1073622 | 2022-12-28 | Brazil | Acre | 158318 | 2040 | 0 | -9.0238 | -70.812 | 2022-12-29 04:21:01 | Acre, Brazil | |||
1073623 | 1073623 | 2022-12-28 | Brazil | Alagoas | 334817 | 7194 | 0 | -9.5713 | -36.782 | 2022-12-29 04:21:01 | Alagoas, Brazil | |||
1073624 | 1073624 | 2022-12-28 | Brazil | Amapa | 182510 | 2165 | 0 | 0.902 | -52.003 | 2022-12-29 04:21:01 | Amapa, Brazil | |||
1073625 | 1073625 | 2022-12-28 | Brazil | Amazonas | 624821 | 14418 | 0 | -3.4168 | -65.8561 | 2022-12-29 04:21:01 | Amazonas, Brazil | |||
1073626 | 1073626 | 2022-12-28 | Brazil | Bahia | 1766816 | 31219 | 0 | -12.5797 | -41.7007 | 2022-12-29 04:21:01 | Bahia, Brazil | |||
1073627 | 1073627 | 2022-12-28 | Brazil | Ceara | 1436157 | 28067 | 0 | -5.4984 | -39.3206 | 2022-12-29 04:21:01 | Ceara, Brazil | |||
1073628 | 1073628 | 2022-12-28 | Brazil | Distrito Federal | 886923 | 11838 | 0 | -15.7998 | -47.8645 | 2022-12-29 04:21:01 | Distrito Federal, Brazil | |||
1073629 | 1073629 | 2022-12-28 | Brazil | Espirito Santo | 1309057 | 14958 | 0 | -19.1834 | -40.3089 | 2022-12-29 04:21:01 | Espirito Santo, Brazil | |||
1073630 | 1073630 | 2022-12-28 | Brazil | Goias | 1816520 | 27718 | 0 | -15.827 | -49.8362 | 2022-12-29 04:21:01 | Goias, Brazil | |||
1073631 | 1073631 | 2022-12-28 | Brazil | Maranhao | 487807 | 11030 | 0 | -4.9609 | -45.2744 | 2022-12-29 04:21:01 | Maranhao, Brazil | |||
1073632 | 1073632 | 2022-12-28 | Brazil | Mato Grosso | 859241 | 15015 | 0 | -12.6819 | -56.9211 | 2022-12-29 04:21:01 | Mato Grosso, Brazil | |||
1073633 | 1073633 | 2022-12-28 | Brazil | Mato Grosso do Sul | 593209 | 10903 | 0 | -20.7722 | -54.7852 | 2022-12-29 04:21:01 | Mato Grosso do Sul, Brazil | |||
1073634 | 1073634 | 2022-12-28 | Brazil | Minas Gerais | 4069435 | 64402 | 0 | -18.5122 | -44.555 | 2022-12-29 04:21:01 | Minas Gerais, Brazil | |||
1073635 | 1073635 | 2022-12-28 | Brazil | Para | 860719 | 18952 | 0 | -1.9981 | -54.9306 | 2022-12-29 04:21:01 | Para, Brazil | |||
1073636 | 1073636 | 2022-12-28 | Brazil | Paraiba | 698916 | 10522 | 0 | -7.24 | -36.782 | 2022-12-29 04:21:01 | Paraiba, Brazil | |||
1073637 | 1073637 | 2022-12-28 | Brazil | Parana | 2855808 | 45697 | 0 | -25.2521 | -52.0215 | 2022-12-29 04:21:01 | Parana, Brazil | |||
1073638 | 1073638 | 2022-12-28 | Brazil | Pernambuco | 1120714 | 22570 | 0 | -8.8137 | -36.9541 | 2022-12-29 04:21:01 | Pernambuco, Brazil | |||
1073639 | 1073639 | 2022-12-28 | Brazil | Piaui | 413535 | 8027 | 0 | -7.7183 | -42.7289 | 2022-12-29 04:21:01 | Piaui, Brazil | |||
1073640 | 1073640 | 2022-12-28 | Brazil | Rio Grande do Norte | 582130 | 8686 | 0 | -5.4026 | -36.9541 | 2022-12-29 04:21:01 | Rio Grande do Norte, Brazil | |||
1073641 | 1073641 | 2022-12-28 | Brazil | Rio Grande do Sul | 2883483 | 41479 | 0 | -30.0346 | -51.2177 | 2022-12-29 04:21:01 | Rio Grande do Sul, Brazil | |||
1073642 | 1073642 | 2022-12-28 | Brazil | Rio de Janeiro | 2698002 | 76491 | 0 | -22.9068 | -43.1729 | 2022-12-29 04:21:01 | Rio de Janeiro, Brazil | |||
1073643 | 1073643 | 2022-12-28 | Brazil | Rondonia | 469744 | 7397 | 0 | -11.5057 | -63.5806 | 2022-12-29 04:21:01 | Rondonia, Brazil | |||
1073644 | 1073644 | 2022-12-28 | Brazil | Roraima | 181161 | 2180 | 0 | -2.7376 | -62.0751 | 2022-12-29 04:21:01 | Roraima, Brazil | |||
1073645 | 1073645 | 2022-12-28 | Brazil | Santa Catarina | 1953291 | 22573 | 0 | -27.2423 | -50.2189 | 2022-12-29 04:21:01 | Santa Catarina, Brazil | |||
1073646 | 1073646 | 2022-12-28 | Brazil | Sao Paulo | 6303911 | 177331 | 0 | -23.5505 | -46.6333 | 2022-12-29 04:21:01 | Sao Paulo, Brazil | |||
1073647 | 1073647 | 2022-12-28 | Brazil | Sergipe | 358109 | 6482 | 0 | -10.5741 | -37.3857 | 2022-12-29 04:21:01 | Sergipe, Brazil | |||
1073648 | 1073648 | 2022-12-28 | Brazil | Tocantins | 359567 | 4208 | 0 | -10.1753 | -48.2982 | 2022-12-29 04:21:01 | 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]);