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 2022-06-06 sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3887332 | 3887332 | 2022-06-06 | Brazil | Acre | 125119 | 2002 | 0 | -9.0238 | -70.812 | 2022-06-07 04:21:08 | Acre, Brazil | |||
3887333 | 3887333 | 2022-06-06 | Brazil | Alagoas | 299560 | 6936 | 0 | -9.5713 | -36.782 | 2022-06-07 04:21:08 | Alagoas, Brazil | |||
3887334 | 3887334 | 2022-06-06 | Brazil | Amapa | 160450 | 2134 | 0 | 0.902 | -52.003 | 2022-06-07 04:21:08 | Amapa, Brazil | |||
3887335 | 3887335 | 2022-06-06 | Brazil | Amazonas | 582870 | 14175 | 0 | -3.4168 | -65.8561 | 2022-06-07 04:21:08 | Amazonas, Brazil | |||
3887336 | 3887336 | 2022-06-06 | Brazil | Bahia | 1549865 | 29946 | 0 | -12.5797 | -41.7007 | 2022-06-07 04:21:08 | Bahia, Brazil | |||
3887337 | 3887337 | 2022-06-06 | Brazil | Ceara | 1248491 | 27109 | 0 | -5.4984 | -39.3206 | 2022-06-07 04:21:08 | Ceara, Brazil | |||
3887338 | 3887338 | 2022-06-06 | Brazil | Distrito Federal | 724921 | 11693 | 0 | -15.7998 | -47.8645 | 2022-06-07 04:21:08 | Distrito Federal, Brazil | |||
3887339 | 3887339 | 2022-06-06 | Brazil | Espirito Santo | 1057486 | 14421 | 0 | -19.1834 | -40.3089 | 2022-06-07 04:21:08 | Espirito Santo, Brazil | |||
3887340 | 3887340 | 2022-06-06 | Brazil | Goias | 1386830 | 26659 | 0 | -15.827 | -49.8362 | 2022-06-07 04:21:08 | Goias, Brazil | |||
3887341 | 3887341 | 2022-06-06 | Brazil | Maranhao | 439249 | 10889 | 0 | -4.9609 | -45.2744 | 2022-06-07 04:21:08 | Maranhao, Brazil | |||
3887342 | 3887342 | 2022-06-06 | Brazil | Mato Grosso | 734483 | 14646 | 0 | -12.6819 | -56.9211 | 2022-06-07 04:21:08 | Mato Grosso, Brazil | |||
3887343 | 3887343 | 2022-06-06 | Brazil | Mato Grosso do Sul | 537828 | 10569 | 0 | -20.7722 | -54.7852 | 2022-06-07 04:21:08 | Mato Grosso do Sul, Brazil | |||
3887344 | 3887344 | 2022-06-06 | Brazil | Minas Gerais | 3446478 | 61579 | 0 | -18.5122 | -44.555 | 2022-06-07 04:21:08 | Minas Gerais, Brazil | |||
3887345 | 3887345 | 2022-06-06 | Brazil | Para | 775957 | 18391 | 0 | -1.9981 | -54.9306 | 2022-06-07 04:21:08 | Para, Brazil | |||
3887346 | 3887346 | 2022-06-06 | Brazil | Paraiba | 606445 | 10220 | 0 | -7.24 | -36.782 | 2022-06-07 04:21:08 | Paraiba, Brazil | |||
3887347 | 3887347 | 2022-06-06 | Brazil | Parana | 2550523 | 43401 | 0 | -25.2521 | -52.0215 | 2022-06-07 04:21:08 | Parana, Brazil | |||
3887348 | 3887348 | 2022-06-06 | Brazil | Pernambuco | 941524 | 21751 | 0 | -8.8137 | -36.9541 | 2022-06-07 04:21:08 | Pernambuco, Brazil | |||
3887349 | 3887349 | 2022-06-06 | Brazil | Piaui | 368102 | 7747 | 0 | -7.7183 | -42.7289 | 2022-06-07 04:21:08 | Piaui, Brazil | |||
3887350 | 3887350 | 2022-06-06 | Brazil | Rio Grande do Norte | 507592 | 8212 | 0 | -5.4026 | -36.9541 | 2022-06-07 04:21:08 | Rio Grande do Norte, Brazil | |||
3887351 | 3887351 | 2022-06-06 | Brazil | Rio Grande do Sul | 2459295 | 39565 | 0 | -30.0346 | -51.2177 | 2022-06-07 04:21:08 | Rio Grande do Sul, Brazil | |||
3887352 | 3887352 | 2022-06-06 | Brazil | Rio de Janeiro | 2217604 | 73830 | 0 | -22.9068 | -43.1729 | 2022-06-07 04:21:08 | Rio de Janeiro, Brazil | |||
3887353 | 3887353 | 2022-06-06 | Brazil | Rondonia | 404818 | 7219 | 0 | -11.5057 | -63.5806 | 2022-06-07 04:21:08 | Rondonia, Brazil | |||
3887354 | 3887354 | 2022-06-06 | Brazil | Roraima | 155894 | 2152 | 0 | -2.7376 | -62.0751 | 2022-06-07 04:21:08 | Roraima, Brazil | |||
3887355 | 3887355 | 2022-06-06 | Brazil | Santa Catarina | 1751231 | 21875 | 0 | -27.2423 | -50.2189 | 2022-06-07 04:21:08 | Santa Catarina, Brazil | |||
3887356 | 3887356 | 2022-06-06 | Brazil | Sao Paulo | 5527726 | 169415 | 0 | -23.5505 | -46.6333 | 2022-06-07 04:21:08 | Sao Paulo, Brazil | |||
3887357 | 3887357 | 2022-06-06 | Brazil | Sergipe | 327552 | 6348 | 0 | -10.5741 | -37.3857 | 2022-06-07 04:21:08 | Sergipe, Brazil | |||
3887358 | 3887358 | 2022-06-06 | Brazil | Tocantins | 307225 | 4157 | 0 | -10.1753 | -48.2982 | 2022-06-07 04:21:08 | 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]);