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 2022-04-08 sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3319953 | 3319953 | 2022-04-07 | Brazil | Acre | 123820 | 1994 | 0 | -9.0238 | -70.812 | 2022-04-08 04:20:48 | Acre, Brazil | |||
3319954 | 3319954 | 2022-04-07 | Brazil | Alagoas | 296914 | 6898 | 0 | -9.5713 | -36.782 | 2022-04-08 04:20:48 | Alagoas, Brazil | |||
3319955 | 3319955 | 2022-04-07 | Brazil | Amapa | 160360 | 2128 | 0 | 0.902 | -52.003 | 2022-04-08 04:20:48 | Amapa, Brazil | |||
3319956 | 3319956 | 2022-04-07 | Brazil | Amazonas | 581566 | 14160 | 0 | -3.4168 | -65.8561 | 2022-04-08 04:20:48 | Amazonas, Brazil | |||
3319957 | 3319957 | 2022-04-07 | Brazil | Bahia | 1536039 | 29748 | 0 | -12.5797 | -41.7007 | 2022-04-08 04:20:48 | Bahia, Brazil | |||
3319958 | 3319958 | 2022-04-07 | Brazil | Ceara | 1242268 | 26806 | 0 | -5.4984 | -39.3206 | 2022-04-08 04:20:48 | Ceara, Brazil | |||
3319959 | 3319959 | 2022-04-07 | Brazil | Distrito Federal | 693226 | 11606 | 0 | -15.7998 | -47.8645 | 2022-04-08 04:20:48 | Distrito Federal, Brazil | |||
3319960 | 3319960 | 2022-04-07 | Brazil | Espirito Santo | 1040670 | 14345 | 0 | -19.1834 | -40.3089 | 2022-04-08 04:20:48 | Espirito Santo, Brazil | |||
3319961 | 3319961 | 2022-04-07 | Brazil | Goias | 1296147 | 26327 | 0 | -15.827 | -49.8362 | 2022-04-08 04:20:48 | Goias, Brazil | |||
3319962 | 3319962 | 2022-04-07 | Brazil | Maranhao | 427775 | 10876 | 0 | -4.9609 | -45.2744 | 2022-04-08 04:20:48 | Maranhao, Brazil | |||
3319963 | 3319963 | 2022-04-07 | Brazil | Mato Grosso | 724653 | 14854 | 0 | -12.6819 | -56.9211 | 2022-04-08 04:20:48 | Mato Grosso, Brazil | |||
3319964 | 3319964 | 2022-04-07 | Brazil | Mato Grosso do Sul | 525429 | 10513 | 0 | -20.7722 | -54.7852 | 2022-04-08 04:20:48 | Mato Grosso do Sul, Brazil | |||
3319965 | 3319965 | 2022-04-07 | Brazil | Minas Gerais | 3340056 | 60995 | 0 | -18.5122 | -44.555 | 2022-04-08 04:20:48 | Minas Gerais, Brazil | |||
3319966 | 3319966 | 2022-04-07 | Brazil | Para | 757661 | 18145 | 0 | -1.9981 | -54.9306 | 2022-04-08 04:20:48 | Para, Brazil | |||
3319967 | 3319967 | 2022-04-07 | Brazil | Paraiba | 598826 | 10197 | 0 | -7.24 | -36.782 | 2022-04-08 04:20:48 | Paraiba, Brazil | |||
3319968 | 3319968 | 2022-04-07 | Brazil | Parana | 2423445 | 42965 | 0 | -25.2521 | -52.0215 | 2022-04-08 04:20:48 | Parana, Brazil | |||
3319969 | 3319969 | 2022-04-07 | Brazil | Pernambuco | 905319 | 21461 | 0 | -8.8137 | -36.9541 | 2022-04-08 04:20:48 | Pernambuco, Brazil | |||
3319970 | 3319970 | 2022-04-07 | Brazil | Piaui | 367816 | 7731 | 0 | -7.7183 | -42.7289 | 2022-04-08 04:20:48 | Piaui, Brazil | |||
3319971 | 3319971 | 2022-04-07 | Brazil | Rio Grande do Norte | 499500 | 8153 | 0 | -5.4026 | -36.9541 | 2022-04-08 04:20:48 | Rio Grande do Norte, Brazil | |||
3319972 | 3319972 | 2022-04-07 | Brazil | Rio Grande do Sul | 2289589 | 39138 | 0 | -30.0346 | -51.2177 | 2022-04-08 04:20:48 | Rio Grande do Sul, Brazil | |||
3319973 | 3319973 | 2022-04-07 | Brazil | Rio de Janeiro | 2105358 | 73033 | 0 | -22.9068 | -43.1729 | 2022-04-08 04:20:48 | Rio de Janeiro, Brazil | |||
3319974 | 3319974 | 2022-04-07 | Brazil | Rondonia | 395909 | 7190 | 0 | -11.5057 | -63.5806 | 2022-04-08 04:20:48 | Rondonia, Brazil | |||
3319975 | 3319975 | 2022-04-07 | Brazil | Roraima | 155237 | 2146 | 0 | -2.7376 | -62.0751 | 2022-04-08 04:20:48 | Roraima, Brazil | |||
3319976 | 3319976 | 2022-04-07 | Brazil | Santa Catarina | 1683023 | 21692 | 0 | -27.2423 | -50.2189 | 2022-04-08 04:20:48 | Santa Catarina, Brazil | |||
3319977 | 3319977 | 2022-04-07 | Brazil | Sao Paulo | 5294608 | 167651 | 0 | -23.5505 | -46.6333 | 2022-04-08 04:20:48 | Sao Paulo, Brazil | |||
3319978 | 3319978 | 2022-04-07 | Brazil | Sergipe | 326638 | 6329 | 0 | -10.5741 | -37.3857 | 2022-04-08 04:20:48 | Sergipe, Brazil | |||
3319979 | 3319979 | 2022-04-07 | Brazil | Tocantins | 303476 | 4147 | 0 | -10.1753 | -48.2982 | 2022-04-08 04:20:48 | 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]);