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 2022-06-30 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3939772 | 3939772 | 2022-06-30 | Brazil | Acre | 126195 | 2004 | 0 | -9.0238 | -70.812 | 2022-07-01 04:21:10 | Acre, Brazil | |||
3939773 | 3939773 | 2022-06-30 | Brazil | Alagoas | 305248 | 6953 | 0 | -9.5713 | -36.782 | 2022-07-01 04:21:10 | Alagoas, Brazil | |||
3939774 | 3939774 | 2022-06-30 | Brazil | Amapa | 161172 | 2140 | 0 | 0.902 | -52.003 | 2022-07-01 04:21:10 | Amapa, Brazil | |||
3939775 | 3939775 | 2022-06-30 | Brazil | Amazonas | 585103 | 14178 | 0 | -3.4168 | -65.8561 | 2022-07-01 04:21:10 | Amazonas, Brazil | |||
3939776 | 3939776 | 2022-06-30 | Brazil | Bahia | 1576509 | 30031 | 0 | -12.5797 | -41.7007 | 2022-07-01 04:21:10 | Bahia, Brazil | |||
3939777 | 3939777 | 2022-06-30 | Brazil | Ceara | 1266399 | 27186 | 0 | -5.4984 | -39.3206 | 2022-07-01 04:21:10 | Ceara, Brazil | |||
3939778 | 3939778 | 2022-06-30 | Brazil | Distrito Federal | 805736 | 11759 | 0 | -15.7998 | -47.8645 | 2022-07-01 04:21:10 | Distrito Federal, Brazil | |||
3939779 | 3939779 | 2022-06-30 | Brazil | Espirito Santo | 1119472 | 14495 | 0 | -19.1834 | -40.3089 | 2022-07-01 04:21:10 | Espirito Santo, Brazil | |||
3939780 | 3939780 | 2022-06-30 | Brazil | Goias | 1501978 | 26882 | 0 | -15.827 | -49.8362 | 2022-07-01 04:21:10 | Goias, Brazil | |||
3939781 | 3939781 | 2022-06-30 | Brazil | Maranhao | 443241 | 10896 | 0 | -4.9609 | -45.2744 | 2022-07-01 04:21:10 | Maranhao, Brazil | |||
3939782 | 3939782 | 2022-06-30 | Brazil | Mato Grosso | 759541 | 14710 | 0 | -12.6819 | -56.9211 | 2022-07-01 04:21:10 | Mato Grosso, Brazil | |||
3939783 | 3939783 | 2022-06-30 | Brazil | Mato Grosso do Sul | 549847 | 10626 | 0 | -20.7722 | -54.7852 | 2022-07-01 04:21:10 | Mato Grosso do Sul, Brazil | |||
3939784 | 3939784 | 2022-06-30 | Brazil | Minas Gerais | 3621242 | 62149 | 0 | -18.5122 | -44.555 | 2022-07-01 04:21:10 | Minas Gerais, Brazil | |||
3939785 | 3939785 | 2022-06-30 | Brazil | Para | 782892 | 18463 | 0 | -1.9981 | -54.9306 | 2022-07-01 04:21:10 | Para, Brazil | |||
3939786 | 3939786 | 2022-06-30 | Brazil | Paraiba | 618602 | 10254 | 0 | -7.24 | -36.782 | 2022-07-01 04:21:10 | Paraiba, Brazil | |||
3939787 | 3939787 | 2022-06-30 | Brazil | Parana | 2623126 | 43774 | 0 | -25.2521 | -52.0215 | 2022-07-01 04:21:10 | Parana, Brazil | |||
3939788 | 3939788 | 2022-06-30 | Brazil | Pernambuco | 976385 | 21867 | 0 | -8.8137 | -36.9541 | 2022-07-01 04:21:10 | Pernambuco, Brazil | |||
3939789 | 3939789 | 2022-06-30 | Brazil | Piaui | 372612 | 7764 | 0 | -7.7183 | -42.7289 | 2022-07-01 04:21:10 | Piaui, Brazil | |||
3939790 | 3939790 | 2022-06-30 | Brazil | Rio Grande do Norte | 526479 | 8267 | 0 | -5.4026 | -36.9541 | 2022-07-01 04:21:10 | Rio Grande do Norte, Brazil | |||
3939791 | 3939791 | 2022-06-30 | Brazil | Rio Grande do Sul | 2547247 | 40027 | 0 | -30.0346 | -51.2177 | 2022-07-01 04:21:10 | Rio Grande do Sul, Brazil | |||
3939792 | 3939792 | 2022-06-30 | Brazil | Rio de Janeiro | 2348485 | 74134 | 0 | -22.9068 | -43.1729 | 2022-07-01 04:21:10 | Rio de Janeiro, Brazil | |||
3939793 | 3939793 | 2022-06-30 | Brazil | Rondonia | 417108 | 7246 | 0 | -11.5057 | -63.5806 | 2022-07-01 04:21:10 | Rondonia, Brazil | |||
3939794 | 3939794 | 2022-06-30 | Brazil | Roraima | 159648 | 2153 | 0 | -2.7376 | -62.0751 | 2022-07-01 04:21:10 | Roraima, Brazil | |||
3939795 | 3939795 | 2022-06-30 | Brazil | Santa Catarina | 1794189 | 22029 | 0 | -27.2423 | -50.2189 | 2022-07-01 04:21:10 | Santa Catarina, Brazil | |||
3939796 | 3939796 | 2022-06-30 | Brazil | Sao Paulo | 5718492 | 170907 | 0 | -23.5505 | -46.6333 | 2022-07-01 04:21:10 | Sao Paulo, Brazil | |||
3939797 | 3939797 | 2022-06-30 | Brazil | Sergipe | 330327 | 6358 | 0 | -10.5741 | -37.3857 | 2022-07-01 04:21:10 | Sergipe, Brazil | |||
3939798 | 3939798 | 2022-06-30 | Brazil | Tocantins | 320743 | 4164 | 0 | -10.1753 | -48.2982 | 2022-07-01 04:21:10 | 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]);