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 = "2020-08-31 04:28:27" sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3931758 | 3931758 | 2020-08-30 | Brazil | Acre | 24638 | 609 | 19445 | 4584 | -9.0238 | -70.812 | 2020-08-31 04:28:27 | Acre, Brazil | ||
3931759 | 3931759 | 2020-08-30 | Brazil | Alagoas | 78637 | 1878 | 73053 | 3706 | -9.5713 | -36.782 | 2020-08-31 04:28:27 | Alagoas, Brazil | ||
3931760 | 3931760 | 2020-08-30 | Brazil | Amapa | 42892 | 660 | 30977 | 11255 | 0.902 | -52.003 | 2020-08-31 04:28:27 | Amapa, Brazil | ||
3931761 | 3931761 | 2020-08-30 | Brazil | Amazonas | 120060 | 3639 | 100894 | 15527 | -3.4168 | -65.8561 | 2020-08-31 04:28:27 | Amazonas, Brazil | ||
3931762 | 3931762 | 2020-08-30 | Brazil | Bahia | 256062 | 5344 | 239467 | 11251 | -12.5797 | -41.7007 | 2020-08-31 04:28:27 | Bahia, Brazil | ||
3931763 | 3931763 | 2020-08-30 | Brazil | Ceara | 214457 | 8384 | 189192 | 16881 | -5.4984 | -39.3206 | 2020-08-31 04:28:27 | Ceara, Brazil | ||
3931764 | 3931764 | 2020-08-30 | Brazil | Distrito Federal | 160796 | 2469 | 144510 | 13817 | -15.7998 | -47.8645 | 2020-08-31 04:28:27 | Distrito Federal, Brazil | ||
3931765 | 3931765 | 2020-08-30 | Brazil | Espirito Santo | 110351 | 3135 | 99093 | 8123 | -19.1834 | -40.3089 | 2020-08-31 04:28:27 | Espirito Santo, Brazil | ||
3931766 | 3931766 | 2020-08-30 | Brazil | Goias | 130977 | 3089 | 121662 | 6126 | -15.827 | -49.8362 | 2020-08-31 04:28:27 | Goias, Brazil | ||
3931767 | 3931767 | 2020-08-30 | Brazil | Maranhao | 151212 | 3436 | 139286 | 8490 | -4.9609 | -45.2744 | 2020-08-31 04:28:27 | Maranhao, Brazil | ||
3931768 | 3931768 | 2020-08-30 | Brazil | Mato Grosso | 90895 | 2777 | 70889 | 16723 | -12.6819 | -56.9211 | 2020-08-31 04:28:27 | Mato Grosso, Brazil | ||
3931769 | 3931769 | 2020-08-30 | Brazil | Mato Grosso do Sul | 48937 | 862 | 40595 | 7076 | -20.7722 | -54.7852 | 2020-08-31 04:28:27 | Mato Grosso do Sul, Brazil | ||
3931770 | 3931770 | 2020-08-30 | Brazil | Minas Gerais | 215050 | 5326 | 177946 | 31778 | -18.5122 | -44.555 | 2020-08-31 04:28:27 | Minas Gerais, Brazil | ||
3931771 | 3931771 | 2020-08-30 | Brazil | Para | 199556 | 6146 | 183981 | 9075 | -1.9981 | -54.9306 | 2020-08-31 04:28:27 | Para, Brazil | ||
3931772 | 3931772 | 2020-08-30 | Brazil | Paraiba | 105661 | 2435 | 75470 | 27756 | -7.24 | -36.782 | 2020-08-31 04:28:27 | Paraiba, Brazil | ||
3931773 | 3931773 | 2020-08-30 | Brazil | Parana | 130603 | 3251 | 85464 | 41888 | -25.2521 | -52.0215 | 2020-08-31 04:28:27 | Parana, Brazil | ||
3931774 | 3931774 | 2020-08-30 | Brazil | Pernambuco | 125094 | 7574 | 105859 | 11661 | -8.8137 | -36.9541 | 2020-08-31 04:28:27 | Pernambuco, Brazil | ||
3931775 | 3931775 | 2020-08-30 | Brazil | Piaui | 77405 | 1825 | 74964 | 486 | -7.7183 | -42.7289 | 2020-08-31 04:28:27 | Piaui, Brazil | ||
3931776 | 3931776 | 2020-08-30 | Brazil | Rio Grande do Norte | 61961 | 2264 | 37767 | 21634 | -5.4026 | -36.9541 | 2020-08-31 04:28:27 | Rio Grande do Norte, Brazil | ||
3931777 | 3931777 | 2020-08-30 | Brazil | Rio Grande do Sul | 124482 | 3395 | 111597 | 9490 | -30.0346 | -51.2177 | 2020-08-31 04:28:27 | Rio Grande do Sul, Brazil | ||
3931778 | 3931778 | 2020-08-30 | Brazil | Rio de Janeiro | 223302 | 16027 | 201715 | 5560 | -22.9068 | -43.1729 | 2020-08-31 04:28:27 | Rio de Janeiro, Brazil | ||
3931779 | 3931779 | 2020-08-30 | Brazil | Rondonia | 54679 | 1129 | 45583 | 7967 | -11.5057 | -63.5806 | 2020-08-31 04:28:27 | Rondonia, Brazil | ||
3931780 | 3931780 | 2020-08-30 | Brazil | Roraima | 43518 | 587 | 11057 | 31826 | -2.7376 | -62.0751 | 2020-08-31 04:28:27 | Roraima, Brazil | ||
3931781 | 3931781 | 2020-08-30 | Brazil | Santa Catarina | 146864 | 2235 | 136862 | 7767 | -27.2423 | -50.2189 | 2020-08-31 04:28:27 | Santa Catarina, Brazil | ||
3931782 | 3931782 | 2020-08-30 | Brazil | Sao Paulo | 803404 | 29978 | 625203 | 148223 | -23.5505 | -46.6333 | 2020-08-31 04:28:27 | Sao Paulo, Brazil | ||
3931783 | 3931783 | 2020-08-30 | Brazil | Sergipe | 72417 | 1844 | 62950 | 7623 | -10.5741 | -37.3857 | 2020-08-31 04:28:27 | Sergipe, Brazil | ||
3931784 | 3931784 | 2020-08-30 | Brazil | Tocantins | 50694 | 673 | 32134 | 17575 | -10.1753 | -48.2982 | 2020-08-31 04:28:27 | 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]);