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 2022-03-17 sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: day (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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
694102 | 694102 | 2022-03-17 | Brazil | Acre | 123588 | 1990 | 0 | -9.0238 | -70.812 | 2022-03-18 04:20:55 | Acre, Brazil | |||
694103 | 694103 | 2022-03-17 | Brazil | Alagoas | 295189 | 6828 | 0 | -9.5713 | -36.782 | 2022-03-18 04:20:55 | Alagoas, Brazil | |||
694104 | 694104 | 2022-03-17 | Brazil | Amapa | 160248 | 2119 | 0 | 0.902 | -52.003 | 2022-03-18 04:20:55 | Amapa, Brazil | |||
694105 | 694105 | 2022-03-17 | Brazil | Amazonas | 579677 | 14146 | 0 | -3.4168 | -65.8561 | 2022-03-18 04:20:55 | Amazonas, Brazil | |||
694106 | 694106 | 2022-03-17 | Brazil | Bahia | 1522095 | 29549 | 0 | -12.5797 | -41.7007 | 2022-03-18 04:20:55 | Bahia, Brazil | |||
694107 | 694107 | 2022-03-17 | Brazil | Ceara | 1235452 | 26639 | 0 | -5.4984 | -39.3206 | 2022-03-18 04:20:55 | Ceara, Brazil | |||
694108 | 694108 | 2022-03-17 | Brazil | Distrito Federal | 689463 | 11542 | 0 | -15.7998 | -47.8645 | 2022-03-18 04:20:55 | Distrito Federal, Brazil | |||
694109 | 694109 | 2022-03-17 | Brazil | Espirito Santo | 1033566 | 14273 | 0 | -19.1834 | -40.3089 | 2022-03-18 04:20:55 | Espirito Santo, Brazil | |||
694110 | 694110 | 2022-03-17 | Brazil | Goias | 1237668 | 26067 | 0 | -15.827 | -49.8362 | 2022-03-18 04:20:55 | Goias, Brazil | |||
694111 | 694111 | 2022-03-17 | Brazil | Maranhao | 420851 | 10855 | 0 | -4.9609 | -45.2744 | 2022-03-18 04:20:55 | Maranhao, Brazil | |||
694112 | 694112 | 2022-03-17 | Brazil | Mato Grosso | 719566 | 14829 | 0 | -12.6819 | -56.9211 | 2022-03-18 04:20:55 | Mato Grosso, Brazil | |||
694113 | 694113 | 2022-03-17 | Brazil | Mato Grosso do Sul | 517823 | 10459 | 0 | -20.7722 | -54.7852 | 2022-03-18 04:20:55 | Mato Grosso do Sul, Brazil | |||
694114 | 694114 | 2022-03-17 | Brazil | Minas Gerais | 3281457 | 60449 | 0 | -18.5122 | -44.555 | 2022-03-18 04:20:55 | Minas Gerais, Brazil | |||
694115 | 694115 | 2022-03-17 | Brazil | Para | 740222 | 18006 | 0 | -1.9981 | -54.9306 | 2022-03-18 04:20:55 | Para, Brazil | |||
694116 | 694116 | 2022-03-17 | Brazil | Paraiba | 590042 | 10166 | 0 | -7.24 | -36.782 | 2022-03-18 04:20:55 | Paraiba, Brazil | |||
694117 | 694117 | 2022-03-17 | Brazil | Parana | 2392386 | 42763 | 0 | -25.2521 | -52.0215 | 2022-03-18 04:20:55 | Parana, Brazil | |||
694118 | 694118 | 2022-03-17 | Brazil | Pernambuco | 874704 | 21253 | 0 | -8.8137 | -36.9541 | 2022-03-18 04:20:55 | Pernambuco, Brazil | |||
694119 | 694119 | 2022-03-17 | Brazil | Piaui | 366970 | 7712 | 0 | -7.7183 | -42.7289 | 2022-03-18 04:20:55 | Piaui, Brazil | |||
694120 | 694120 | 2022-03-17 | Brazil | Rio Grande do Norte | 489517 | 8111 | 0 | -5.4026 | -36.9541 | 2022-03-18 04:20:55 | Rio Grande do Norte, Brazil | |||
694121 | 694121 | 2022-03-17 | Brazil | Rio Grande do Sul | 2230912 | 38824 | 0 | -30.0346 | -51.2177 | 2022-03-18 04:20:55 | Rio Grande do Sul, Brazil | |||
694122 | 694122 | 2022-03-17 | Brazil | Rio de Janeiro | 2050452 | 72360 | 0 | -22.9068 | -43.1729 | 2022-03-18 04:20:55 | Rio de Janeiro, Brazil | |||
694123 | 694123 | 2022-03-17 | Brazil | Rondonia | 385538 | 7134 | 0 | -11.5057 | -63.5806 | 2022-03-18 04:20:55 | Rondonia, Brazil | |||
694124 | 694124 | 2022-03-17 | Brazil | Roraima | 154702 | 2143 | 0 | -2.7376 | -62.0751 | 2022-03-18 04:20:55 | Roraima, Brazil | |||
694125 | 694125 | 2022-03-17 | Brazil | Santa Catarina | 1656068 | 21599 | 0 | -27.2423 | -50.2189 | 2022-03-18 04:20:55 | Santa Catarina, Brazil | |||
694126 | 694126 | 2022-03-17 | Brazil | Sao Paulo | 5159850 | 166446 | 0 | -23.5505 | -46.6333 | 2022-03-18 04:20:55 | Sao Paulo, Brazil | |||
694127 | 694127 | 2022-03-17 | Brazil | Sergipe | 323380 | 6295 | 0 | -10.5741 | -37.3857 | 2022-03-18 04:20:55 | Sergipe, Brazil | |||
694128 | 694128 | 2022-03-17 | Brazil | Tocantins | 301424 | 4136 | 0 | -10.1753 | -48.2982 | 2022-03-18 04:20:55 | 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]);