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 2022-02-04 sorted by day descending
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2327076 | 2327076 | 2022-02-04 | Brazil | Acre | 105843 | 1886 | 0 | -9.0238 | -70.812 | 2022-02-05 04:21:05 | Acre, Brazil | |||
2327077 | 2327077 | 2022-02-04 | Brazil | Alagoas | 267909 | 6461 | 0 | -9.5713 | -36.782 | 2022-02-05 04:21:05 | Alagoas, Brazil | |||
2327078 | 2327078 | 2022-02-04 | Brazil | Amapa | 155838 | 2057 | 0 | 0.902 | -52.003 | 2022-02-05 04:21:05 | Amapa, Brazil | |||
2327079 | 2327079 | 2022-02-04 | Brazil | Amazonas | 545165 | 13998 | 0 | -3.4168 | -65.8561 | 2022-02-05 04:21:05 | Amazonas, Brazil | |||
2327080 | 2327080 | 2022-02-04 | Brazil | Bahia | 1399401 | 28133 | 0 | -12.5797 | -41.7007 | 2022-02-05 04:21:05 | Bahia, Brazil | |||
2327081 | 2327081 | 2022-02-04 | Brazil | Ceara | 1175073 | 25412 | 0 | -5.4984 | -39.3206 | 2022-02-05 04:21:05 | Ceara, Brazil | |||
2327082 | 2327082 | 2022-02-04 | Brazil | Distrito Federal | 631233 | 11217 | 0 | -15.7998 | -47.8645 | 2022-02-05 04:21:05 | Distrito Federal, Brazil | |||
2327083 | 2327083 | 2022-02-04 | Brazil | Espirito Santo | 913000 | 13645 | 0 | -19.1834 | -40.3089 | 2022-02-05 04:21:05 | Espirito Santo, Brazil | |||
2327084 | 2327084 | 2022-02-04 | Brazil | Goias | 1064685 | 25150 | 0 | -15.827 | -49.8362 | 2022-02-05 04:21:05 | Goias, Brazil | |||
2327085 | 2327085 | 2022-02-04 | Brazil | Maranhao | 392338 | 10519 | 0 | -4.9609 | -45.2744 | 2022-02-05 04:21:05 | Maranhao, Brazil | |||
2327086 | 2327086 | 2022-02-04 | Brazil | Mato Grosso | 648766 | 14389 | 0 | -12.6819 | -56.9211 | 2022-02-05 04:21:05 | Mato Grosso, Brazil | |||
2327087 | 2327087 | 2022-02-04 | Brazil | Mato Grosso do Sul | 436674 | 9948 | 0 | -20.7722 | -54.7852 | 2022-02-05 04:21:05 | Mato Grosso do Sul, Brazil | |||
2327088 | 2327088 | 2022-02-04 | Brazil | Minas Gerais | 2833192 | 57655 | 0 | -18.5122 | -44.555 | 2022-02-05 04:21:05 | Minas Gerais, Brazil | |||
2327089 | 2327089 | 2022-02-04 | Brazil | Para | 661600 | 17414 | 0 | -1.9981 | -54.9306 | 2022-02-05 04:21:05 | Para, Brazil | |||
2327090 | 2327090 | 2022-02-04 | Brazil | Paraiba | 512790 | 9770 | 0 | -7.24 | -36.782 | 2022-02-05 04:21:05 | Paraiba, Brazil | |||
2327091 | 2327091 | 2022-02-04 | Brazil | Parana | 2064885 | 41397 | 0 | -25.2521 | -52.0215 | 2022-02-05 04:21:05 | Parana, Brazil | |||
2327092 | 2327092 | 2022-02-04 | Brazil | Pernambuco | 722858 | 20712 | 0 | -8.8137 | -36.9541 | 2022-02-05 04:21:05 | Pernambuco, Brazil | |||
2327093 | 2327093 | 2022-02-04 | Brazil | Piaui | 350036 | 7436 | 0 | -7.7183 | -42.7289 | 2022-02-05 04:21:05 | Piaui, Brazil | |||
2327094 | 2327094 | 2022-02-04 | Brazil | Rio Grande do Norte | 437415 | 7778 | 0 | -5.4026 | -36.9541 | 2022-02-05 04:21:05 | Rio Grande do Norte, Brazil | |||
2327095 | 2327095 | 2022-02-04 | Brazil | Rio Grande do Sul | 1904975 | 37092 | 0 | -30.0346 | -51.2177 | 2022-02-05 04:21:05 | Rio Grande do Sul, Brazil | |||
2327096 | 2327096 | 2022-02-04 | Brazil | Rio de Janeiro | 1837001 | 70125 | 0 | -22.9068 | -43.1729 | 2022-02-05 04:21:05 | Rio de Janeiro, Brazil | |||
2327097 | 2327097 | 2022-02-04 | Brazil | Rondonia | 329658 | 6857 | 0 | -11.5057 | -63.5806 | 2022-02-05 04:21:05 | Rondonia, Brazil | |||
2327098 | 2327098 | 2022-02-04 | Brazil | Roraima | 145077 | 2104 | 0 | -2.7376 | -62.0751 | 2022-02-05 04:21:05 | Roraima, Brazil | |||
2327099 | 2327099 | 2022-02-04 | Brazil | Santa Catarina | 1488428 | 20732 | 0 | -27.2423 | -50.2189 | 2022-02-05 04:21:05 | Santa Catarina, Brazil | |||
2327100 | 2327100 | 2022-02-04 | Brazil | Sao Paulo | 4723087 | 159242 | 0 | -23.5505 | -46.6333 | 2022-02-05 04:21:05 | Sao Paulo, Brazil | |||
2327101 | 2327101 | 2022-02-04 | Brazil | Sergipe | 301161 | 6120 | 0 | -10.5741 | -37.3857 | 2022-02-05 04:21:05 | Sergipe, Brazil | |||
2327102 | 2327102 | 2022-02-04 | Brazil | Tocantins | 278366 | 4016 | 0 | -10.1753 | -48.2982 | 2022-02-05 04:21:05 | 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]);