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 2022-06-23 sorted by day descending
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1648091 | 1648091 | 2022-06-23 | Brazil | Acre | 125428 | 2002 | 0 | -9.0238 | -70.812 | 2022-06-24 04:20:58 | Acre, Brazil | |||
1648092 | 1648092 | 2022-06-23 | Brazil | Alagoas | 302247 | 6943 | 0 | -9.5713 | -36.782 | 2022-06-24 04:20:58 | Alagoas, Brazil | |||
1648093 | 1648093 | 2022-06-23 | Brazil | Amapa | 160633 | 2140 | 0 | 0.902 | -52.003 | 2022-06-24 04:20:58 | Amapa, Brazil | |||
1648094 | 1648094 | 2022-06-23 | Brazil | Amazonas | 583697 | 14177 | 0 | -3.4168 | -65.8561 | 2022-06-24 04:20:58 | Amazonas, Brazil | |||
1648095 | 1648095 | 2022-06-23 | Brazil | Bahia | 1564900 | 30010 | 0 | -12.5797 | -41.7007 | 2022-06-24 04:20:58 | Bahia, Brazil | |||
1648096 | 1648096 | 2022-06-23 | Brazil | Ceara | 1255319 | 27157 | 0 | -5.4984 | -39.3206 | 2022-06-24 04:20:58 | Ceara, Brazil | |||
1648097 | 1648097 | 2022-06-23 | Brazil | Distrito Federal | 787650 | 11739 | 0 | -15.7998 | -47.8645 | 2022-06-24 04:20:58 | Distrito Federal, Brazil | |||
1648098 | 1648098 | 2022-06-23 | Brazil | Espirito Santo | 1092543 | 14461 | 0 | -19.1834 | -40.3089 | 2022-06-24 04:20:58 | Espirito Santo, Brazil | |||
1648099 | 1648099 | 2022-06-23 | Brazil | Goias | 1462920 | 26801 | 0 | -15.827 | -49.8362 | 2022-06-24 04:20:58 | Goias, Brazil | |||
1648100 | 1648100 | 2022-06-23 | Brazil | Maranhao | 441756 | 10892 | 0 | -4.9609 | -45.2744 | 2022-06-24 04:20:58 | Maranhao, Brazil | |||
1648101 | 1648101 | 2022-06-23 | Brazil | Mato Grosso | 748098 | 14687 | 0 | -12.6819 | -56.9211 | 2022-06-24 04:20:58 | Mato Grosso, Brazil | |||
1648102 | 1648102 | 2022-06-23 | Brazil | Mato Grosso do Sul | 546632 | 10610 | 0 | -20.7722 | -54.7852 | 2022-06-24 04:20:58 | Mato Grosso do Sul, Brazil | |||
1648103 | 1648103 | 2022-06-23 | Brazil | Minas Gerais | 3558290 | 61916 | 0 | -18.5122 | -44.555 | 2022-06-24 04:20:58 | Minas Gerais, Brazil | |||
1648104 | 1648104 | 2022-06-23 | Brazil | Para | 779670 | 18445 | 0 | -1.9981 | -54.9306 | 2022-06-24 04:20:58 | Para, Brazil | |||
1648105 | 1648105 | 2022-06-23 | Brazil | Paraiba | 613819 | 10241 | 0 | -7.24 | -36.782 | 2022-06-24 04:20:58 | Paraiba, Brazil | |||
1648106 | 1648106 | 2022-06-23 | Brazil | Parana | 2600634 | 43596 | 0 | -25.2521 | -52.0215 | 2022-06-24 04:20:58 | Parana, Brazil | |||
1648107 | 1648107 | 2022-06-23 | Brazil | Pernambuco | 963248 | 21832 | 0 | -8.8137 | -36.9541 | 2022-06-24 04:20:58 | Pernambuco, Brazil | |||
1648108 | 1648108 | 2022-06-23 | Brazil | Piaui | 370470 | 7758 | 0 | -7.7183 | -42.7289 | 2022-06-24 04:20:58 | Piaui, Brazil | |||
1648109 | 1648109 | 2022-06-23 | Brazil | Rio Grande do Norte | 519283 | 8238 | 0 | -5.4026 | -36.9541 | 2022-06-24 04:20:58 | Rio Grande do Norte, Brazil | |||
1648110 | 1648110 | 2022-06-23 | Brazil | Rio Grande do Sul | 2522980 | 39928 | 0 | -30.0346 | -51.2177 | 2022-06-24 04:20:58 | Rio Grande do Sul, Brazil | |||
1648111 | 1648111 | 2022-06-23 | Brazil | Rio de Janeiro | 2308917 | 74037 | 0 | -22.9068 | -43.1729 | 2022-06-24 04:20:58 | Rio de Janeiro, Brazil | |||
1648112 | 1648112 | 2022-06-23 | Brazil | Rondonia | 411054 | 7233 | 0 | -11.5057 | -63.5806 | 2022-06-24 04:20:58 | Rondonia, Brazil | |||
1648113 | 1648113 | 2022-06-23 | Brazil | Roraima | 157208 | 2152 | 0 | -2.7376 | -62.0751 | 2022-06-24 04:20:58 | Roraima, Brazil | |||
1648114 | 1648114 | 2022-06-23 | Brazil | Santa Catarina | 1779994 | 21960 | 0 | -27.2423 | -50.2189 | 2022-06-24 04:20:58 | Santa Catarina, Brazil | |||
1648115 | 1648115 | 2022-06-23 | Brazil | Sao Paulo | 5664927 | 170427 | 0 | -23.5505 | -46.6333 | 2022-06-24 04:20:58 | Sao Paulo, Brazil | |||
1648116 | 1648116 | 2022-06-23 | Brazil | Sergipe | 328744 | 6355 | 0 | -10.5741 | -37.3857 | 2022-06-24 04:20:58 | Sergipe, Brazil | |||
1648117 | 1648117 | 2022-06-23 | Brazil | Tocantins | 311721 | 4158 | 0 | -10.1753 | -48.2982 | 2022-06-24 04:20:58 | 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]);