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 2022-06-30 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2489730 | 2489730 | 2022-06-29 | Brazil | Acre | 125759 | 2002 | 0 | -9.0238 | -70.812 | 2022-06-30 04:21:01 | Acre, Brazil | |||
2489731 | 2489731 | 2022-06-29 | Brazil | Alagoas | 304198 | 6952 | 0 | -9.5713 | -36.782 | 2022-06-30 04:21:01 | Alagoas, Brazil | |||
2489732 | 2489732 | 2022-06-29 | Brazil | Amapa | 160933 | 2140 | 0 | 0.902 | -52.003 | 2022-06-30 04:21:01 | Amapa, Brazil | |||
2489733 | 2489733 | 2022-06-29 | Brazil | Amazonas | 584434 | 14178 | 0 | -3.4168 | -65.8561 | 2022-06-30 04:21:01 | Amazonas, Brazil | |||
2489734 | 2489734 | 2022-06-29 | Brazil | Bahia | 1570045 | 30024 | 0 | -12.5797 | -41.7007 | 2022-06-30 04:21:01 | Bahia, Brazil | |||
2489735 | 2489735 | 2022-06-29 | Brazil | Ceara | 1262880 | 27175 | 0 | -5.4984 | -39.3206 | 2022-06-30 04:21:01 | Ceara, Brazil | |||
2489736 | 2489736 | 2022-06-29 | Brazil | Distrito Federal | 800089 | 11752 | 0 | -15.7998 | -47.8645 | 2022-06-30 04:21:01 | Distrito Federal, Brazil | |||
2489737 | 2489737 | 2022-06-29 | Brazil | Espirito Santo | 1109640 | 14478 | 0 | -19.1834 | -40.3089 | 2022-06-30 04:21:01 | Espirito Santo, Brazil | |||
2489738 | 2489738 | 2022-06-29 | Brazil | Goias | 1486260 | 26847 | 0 | -15.827 | -49.8362 | 2022-06-30 04:21:01 | Goias, Brazil | |||
2489739 | 2489739 | 2022-06-29 | Brazil | Maranhao | 442799 | 10895 | 0 | -4.9609 | -45.2744 | 2022-06-30 04:21:01 | Maranhao, Brazil | |||
2489740 | 2489740 | 2022-06-29 | Brazil | Mato Grosso | 755245 | 14702 | 0 | -12.6819 | -56.9211 | 2022-06-30 04:21:01 | Mato Grosso, Brazil | |||
2489741 | 2489741 | 2022-06-29 | Brazil | Mato Grosso do Sul | 548757 | 10626 | 0 | -20.7722 | -54.7852 | 2022-06-30 04:21:01 | Mato Grosso do Sul, Brazil | |||
2489742 | 2489742 | 2022-06-29 | Brazil | Minas Gerais | 3598640 | 62064 | 0 | -18.5122 | -44.555 | 2022-06-30 04:21:01 | Minas Gerais, Brazil | |||
2489743 | 2489743 | 2022-06-29 | Brazil | Para | 781723 | 18459 | 0 | -1.9981 | -54.9306 | 2022-06-30 04:21:01 | Para, Brazil | |||
2489744 | 2489744 | 2022-06-29 | Brazil | Paraiba | 615764 | 10247 | 0 | -7.24 | -36.782 | 2022-06-30 04:21:01 | Paraiba, Brazil | |||
2489745 | 2489745 | 2022-06-29 | Brazil | Parana | 2616360 | 43707 | 0 | -25.2521 | -52.0215 | 2022-06-30 04:21:01 | Parana, Brazil | |||
2489746 | 2489746 | 2022-06-29 | Brazil | Pernambuco | 969363 | 21856 | 0 | -8.8137 | -36.9541 | 2022-06-30 04:21:01 | Pernambuco, Brazil | |||
2489747 | 2489747 | 2022-06-29 | Brazil | Piaui | 371575 | 7762 | 0 | -7.7183 | -42.7289 | 2022-06-30 04:21:01 | Piaui, Brazil | |||
2489748 | 2489748 | 2022-06-29 | Brazil | Rio Grande do Norte | 523673 | 8253 | 0 | -5.4026 | -36.9541 | 2022-06-30 04:21:01 | Rio Grande do Norte, Brazil | |||
2489749 | 2489749 | 2022-06-29 | Brazil | Rio Grande do Sul | 2538598 | 39974 | 0 | -30.0346 | -51.2177 | 2022-06-30 04:21:01 | Rio Grande do Sul, Brazil | |||
2489750 | 2489750 | 2022-06-29 | Brazil | Rio de Janeiro | 2333281 | 74092 | 0 | -22.9068 | -43.1729 | 2022-06-30 04:21:01 | Rio de Janeiro, Brazil | |||
2489751 | 2489751 | 2022-06-29 | Brazil | Rondonia | 414104 | 7242 | 0 | -11.5057 | -63.5806 | 2022-06-30 04:21:01 | Rondonia, Brazil | |||
2489752 | 2489752 | 2022-06-29 | Brazil | Roraima | 158829 | 2153 | 0 | -2.7376 | -62.0751 | 2022-06-30 04:21:01 | Roraima, Brazil | |||
2489753 | 2489753 | 2022-06-29 | Brazil | Santa Catarina | 1788508 | 22013 | 0 | -27.2423 | -50.2189 | 2022-06-30 04:21:01 | Santa Catarina, Brazil | |||
2489754 | 2489754 | 2022-06-29 | Brazil | Sao Paulo | 5697370 | 170736 | 0 | -23.5505 | -46.6333 | 2022-06-30 04:21:01 | Sao Paulo, Brazil | |||
2489755 | 2489755 | 2022-06-29 | Brazil | Sergipe | 329686 | 6357 | 0 | -10.5741 | -37.3857 | 2022-06-30 04:21:01 | Sergipe, Brazil | |||
2489756 | 2489756 | 2022-06-29 | Brazil | Tocantins | 318441 | 4162 | 0 | -10.1753 | -48.2982 | 2022-06-30 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]);