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 2020-07-29 sorted by day descending
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Suggested facets: 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2958315 | 2958315 | 2020-07-29 | Brazil | Acre | 19366 | 510 | 13724 | 5132 | -9.0238 | -70.812 | 2020-07-30 04:35:05 | Acre, Brazil | ||
2958320 | 2958320 | 2020-07-29 | Brazil | Alagoas | 58124 | 1540 | 50355 | 6229 | -9.5713 | -36.782 | 2020-07-30 04:35:05 | Alagoas, Brazil | ||
2958324 | 2958324 | 2020-07-29 | Brazil | Amapa | 35973 | 559 | 24398 | 11016 | 0.902 | -52.003 | 2020-07-30 04:35:05 | Amapa, Brazil | ||
2958325 | 2958325 | 2020-07-29 | Brazil | Amazonas | 99093 | 3246 | 82512 | 13335 | -3.4168 | -65.8561 | 2020-07-30 04:35:05 | Amazonas, Brazil | ||
2958357 | 2958357 | 2020-07-29 | Brazil | Bahia | 157334 | 3321 | 140136 | 13877 | -12.5797 | -41.7007 | 2020-07-30 04:35:05 | Bahia, Brazil | ||
2958398 | 2958398 | 2020-07-29 | Brazil | Ceara | 169138 | 7648 | 141449 | 19980 | -5.4984 | -39.3206 | 2020-07-30 04:35:05 | Ceara, Brazil | ||
2958431 | 2958431 | 2020-07-29 | Brazil | Distrito Federal | 102342 | 1419 | 85179 | 15744 | -15.7998 | -47.8645 | 2020-07-30 04:35:05 | Distrito Federal, Brazil | ||
2958439 | 2958439 | 2020-07-29 | Brazil | Espirito Santo | 80647 | 2490 | 64239 | 13844 | -19.1834 | -40.3089 | 2020-07-30 04:35:05 | Espirito Santo, Brazil | ||
2958460 | 2958460 | 2020-07-29 | Brazil | Goias | 64250 | 1554 | 56302 | 5802 | -15.827 | -49.8362 | 2020-07-30 04:35:05 | Goias, Brazil | ||
2958580 | 2958580 | 2020-07-29 | Brazil | Maranhao | 117694 | 2978 | 105671 | 9045 | -4.9609 | -45.2744 | 2020-07-30 04:35:05 | Maranhao, Brazil | ||
2958584 | 2958584 | 2020-07-29 | Brazil | Mato Grosso | 48854 | 1752 | 27643 | 18972 | -12.6819 | -56.9211 | 2020-07-30 04:35:05 | Mato Grosso, Brazil | ||
2958585 | 2958585 | 2020-07-29 | Brazil | Mato Grosso do Sul | 24287 | 357 | 15827 | 7242 | -20.7722 | -54.7852 | 2020-07-30 04:35:05 | Mato Grosso do Sul, Brazil | ||
2958596 | 2958596 | 2020-07-29 | Brazil | Minas Gerais | 119394 | 2608 | 89795 | 26991 | -18.5122 | -44.555 | 2020-07-30 04:35:05 | Minas Gerais, Brazil | ||
2958660 | 2958660 | 2020-07-29 | Brazil | Para | 153350 | 5699 | 138373 | 7782 | -1.9981 | -54.9306 | 2020-07-30 04:35:05 | Para, Brazil | ||
2958661 | 2958661 | 2020-07-29 | Brazil | Paraiba | 79898 | 1766 | 32324 | 45808 | -7.24 | -36.782 | 2020-07-30 04:35:05 | Paraiba, Brazil | ||
2958662 | 2958662 | 2020-07-29 | Brazil | Parana | 70920 | 1814 | 36660 | 32446 | -25.2521 | -52.0215 | 2020-07-30 04:35:05 | Parana, Brazil | ||
2958666 | 2958666 | 2020-07-29 | Brazil | Pernambuco | 91536 | 6484 | 67929 | 17123 | -8.8137 | -36.9541 | 2020-07-30 04:35:05 | Pernambuco, Brazil | ||
2958667 | 2958667 | 2020-07-29 | Brazil | Piaui | 50198 | 1304 | 46880 | 790 | -7.7183 | -42.7289 | 2020-07-30 04:35:05 | Piaui, Brazil | ||
2958692 | 2958692 | 2020-07-29 | Brazil | Rio Grande do Norte | 49812 | 1757 | 22901 | 24415 | -5.4026 | -36.9541 | 2020-07-30 04:35:05 | Rio Grande do Norte, Brazil | ||
2958693 | 2958693 | 2020-07-29 | Brazil | Rio Grande do Sul | 64496 | 1750 | 54960 | 7786 | -30.0346 | -51.2177 | 2020-07-30 04:35:05 | Rio Grande do Sul, Brazil | ||
2958694 | 2958694 | 2020-07-29 | Brazil | Rio de Janeiro | 161647 | 13198 | 138498 | 9951 | -22.9068 | -43.1729 | 2020-07-30 04:35:05 | Rio de Janeiro, Brazil | ||
2958697 | 2958697 | 2020-07-29 | Brazil | Rondonia | 37634 | 855 | 25730 | 11049 | -11.5057 | -63.5806 | 2020-07-30 04:35:05 | Rondonia, Brazil | ||
2958698 | 2958698 | 2020-07-29 | Brazil | Roraima | 31455 | 501 | 8862 | 21641 | -2.7376 | -62.0751 | 2020-07-30 04:35:05 | Roraima, Brazil | ||
2958716 | 2958716 | 2020-07-29 | Brazil | Santa Catarina | 77001 | 1002 | 64836 | 11163 | -27.2423 | -50.2189 | 2020-07-30 04:35:05 | Santa Catarina, Brazil | ||
2958718 | 2958718 | 2020-07-29 | Brazil | Sao Paulo | 514197 | 22389 | 344501 | 147307 | -23.5505 | -46.6333 | 2020-07-30 04:35:05 | Sao Paulo, Brazil | ||
2958724 | 2958724 | 2020-07-29 | Brazil | Sergipe | 56214 | 1390 | 28694 | 26130 | -10.5741 | -37.3857 | 2020-07-30 04:35:05 | Sergipe, Brazil | ||
2958763 | 2958763 | 2020-07-29 | Brazil | Tocantins | 24278 | 368 | 14424 | 8729 | -10.1753 | -48.2982 | 2020-07-30 04:35:05 | 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]);