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 = "2022-11-30 04:21:07" sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: day (date), 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2556300 | 2556300 | 2022-11-29 | Brazil | Acre | 153730 | 2029 | 0 | -9.0238 | -70.812 | 2022-11-30 04:21:07 | Acre, Brazil | |||
2556301 | 2556301 | 2022-11-29 | Brazil | Alagoas | 324078 | 7139 | 0 | -9.5713 | -36.782 | 2022-11-30 04:21:07 | Alagoas, Brazil | |||
2556302 | 2556302 | 2022-11-29 | Brazil | Amapa | 181359 | 2165 | 0 | 0.902 | -52.003 | 2022-11-30 04:21:07 | Amapa, Brazil | |||
2556303 | 2556303 | 2022-11-29 | Brazil | Amazonas | 623510 | 14394 | 0 | -3.4168 | -65.8561 | 2022-11-30 04:21:07 | Amazonas, Brazil | |||
2556304 | 2556304 | 2022-11-29 | Brazil | Bahia | 1717792 | 30844 | 0 | -12.5797 | -41.7007 | 2022-11-30 04:21:07 | Bahia, Brazil | |||
2556305 | 2556305 | 2022-11-29 | Brazil | Ceara | 1399117 | 28019 | 0 | -5.4984 | -39.3206 | 2022-11-30 04:21:07 | Ceara, Brazil | |||
2556306 | 2556306 | 2022-11-29 | Brazil | Distrito Federal | 849863 | 11835 | 0 | -15.7998 | -47.8645 | 2022-11-30 04:21:07 | Distrito Federal, Brazil | |||
2556307 | 2556307 | 2022-11-29 | Brazil | Espirito Santo | 1241324 | 14851 | 0 | -19.1834 | -40.3089 | 2022-11-30 04:21:07 | Espirito Santo, Brazil | |||
2556308 | 2556308 | 2022-11-29 | Brazil | Goias | 1742916 | 27628 | 0 | -15.827 | -49.8362 | 2022-11-30 04:21:07 | Goias, Brazil | |||
2556309 | 2556309 | 2022-11-29 | Brazil | Maranhao | 481469 | 11006 | 0 | -4.9609 | -45.2744 | 2022-11-30 04:21:07 | Maranhao, Brazil | |||
2556310 | 2556310 | 2022-11-29 | Brazil | Mato Grosso | 834503 | 14965 | 0 | -12.6819 | -56.9211 | 2022-11-30 04:21:07 | Mato Grosso, Brazil | |||
2556311 | 2556311 | 2022-11-29 | Brazil | Mato Grosso do Sul | 584820 | 10855 | 0 | -20.7722 | -54.7852 | 2022-11-30 04:21:07 | Mato Grosso do Sul, Brazil | |||
2556312 | 2556312 | 2022-11-29 | Brazil | Minas Gerais | 3917323 | 63956 | 0 | -18.5122 | -44.555 | 2022-11-30 04:21:07 | Minas Gerais, Brazil | |||
2556313 | 2556313 | 2022-11-29 | Brazil | Para | 851524 | 18918 | 0 | -1.9981 | -54.9306 | 2022-11-30 04:21:07 | Para, Brazil | |||
2556314 | 2556314 | 2022-11-29 | Brazil | Paraiba | 670213 | 10441 | 0 | -7.24 | -36.782 | 2022-11-30 04:21:07 | Paraiba, Brazil | |||
2556315 | 2556315 | 2022-11-29 | Brazil | Parana | 2775035 | 45501 | 0 | -25.2521 | -52.0215 | 2022-11-30 04:21:07 | Parana, Brazil | |||
2556316 | 2556316 | 2022-11-29 | Brazil | Pernambuco | 1084285 | 22472 | 0 | -8.8137 | -36.9541 | 2022-11-30 04:21:07 | Pernambuco, Brazil | |||
2556317 | 2556317 | 2022-11-29 | Brazil | Piaui | 405723 | 7969 | 0 | -7.7183 | -42.7289 | 2022-11-30 04:21:07 | Piaui, Brazil | |||
2556318 | 2556318 | 2022-11-29 | Brazil | Rio Grande do Norte | 563380 | 8496 | 0 | -5.4026 | -36.9541 | 2022-11-30 04:21:07 | Rio Grande do Norte, Brazil | |||
2556319 | 2556319 | 2022-11-29 | Brazil | Rio Grande do Sul | 2766587 | 41260 | 0 | -30.0346 | -51.2177 | 2022-11-30 04:21:07 | Rio Grande do Sul, Brazil | |||
2556320 | 2556320 | 2022-11-29 | Brazil | Rio de Janeiro | 2632580 | 76070 | 0 | -22.9068 | -43.1729 | 2022-11-30 04:21:07 | Rio de Janeiro, Brazil | |||
2556321 | 2556321 | 2022-11-29 | Brazil | Rondonia | 459167 | 7364 | 0 | -11.5057 | -63.5806 | 2022-11-30 04:21:07 | Rondonia, Brazil | |||
2556322 | 2556322 | 2022-11-29 | Brazil | Roraima | 178756 | 2176 | 0 | -2.7376 | -62.0751 | 2022-11-30 04:21:07 | Roraima, Brazil | |||
2556323 | 2556323 | 2022-11-29 | Brazil | Santa Catarina | 1905548 | 22458 | 0 | -27.2423 | -50.2189 | 2022-11-30 04:21:07 | Santa Catarina, Brazil | |||
2556324 | 2556324 | 2022-11-29 | Brazil | Sao Paulo | 6190288 | 176199 | 0 | -23.5505 | -46.6333 | 2022-11-30 04:21:07 | Sao Paulo, Brazil | |||
2556325 | 2556325 | 2022-11-29 | Brazil | Sergipe | 347392 | 6447 | 0 | -10.5741 | -37.3857 | 2022-11-30 04:21:07 | Sergipe, Brazil | |||
2556326 | 2556326 | 2022-11-29 | Brazil | Tocantins | 345317 | 4208 | 0 | -10.1753 | -48.2982 | 2022-11-30 04:21:07 | Tocantins, Brazil |
Advanced export
JSON shape: default, array, newline-delimited
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]);