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 2020-10-28 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
754033 | 754033 | 2020-10-28 | Brazil | Acre | 30545 | 691 | 27999 | 1855 | -9.0238 | -70.812 | 2020-10-29 04:24:49 | Acre, Brazil | ||
754034 | 754034 | 2020-10-28 | Brazil | Alagoas | 90497 | 2226 | 87424 | 847 | -9.5713 | -36.782 | 2020-10-29 04:24:49 | Alagoas, Brazil | ||
754035 | 754035 | 2020-10-28 | Brazil | Amapa | 51523 | 744 | 43840 | 6939 | 0.902 | -52.003 | 2020-10-29 04:24:49 | Amapa, Brazil | ||
754036 | 754036 | 2020-10-28 | Brazil | Amazonas | 159583 | 4491 | 135376 | 19716 | -3.4168 | -65.8561 | 2020-10-29 04:24:49 | Amazonas, Brazil | ||
754037 | 754037 | 2020-10-28 | Brazil | Bahia | 349711 | 7546 | 334760 | 7405 | -12.5797 | -41.7007 | 2020-10-29 04:24:49 | Bahia, Brazil | ||
754038 | 754038 | 2020-10-28 | Brazil | Ceara | 272290 | 9326 | 232559 | 30220 | -5.4984 | -39.3206 | 2020-10-29 04:24:49 | Ceara, Brazil | ||
754039 | 754039 | 2020-10-28 | Brazil | Distrito Federal | 211442 | 3661 | 201354 | 6427 | -15.7998 | -47.8645 | 2020-10-29 04:24:49 | Distrito Federal, Brazil | ||
754040 | 754040 | 2020-10-28 | Brazil | Espirito Santo | 153004 | 3826 | 141405 | 7773 | -19.1834 | -40.3089 | 2020-10-29 04:24:49 | Espirito Santo, Brazil | ||
754041 | 754041 | 2020-10-28 | Brazil | Goias | 253510 | 5654 | 242825 | 3854 | -15.827 | -49.8362 | 2020-10-29 04:24:49 | Goias, Brazil | ||
754042 | 754042 | 2020-10-28 | Brazil | Maranhao | 185000 | 4024 | 177494 | 3482 | -4.9609 | -45.2744 | 2020-10-29 04:24:49 | Maranhao, Brazil | ||
754043 | 754043 | 2020-10-28 | Brazil | Mato Grosso | 142346 | 3828 | 132576 | 5270 | -12.6819 | -56.9211 | 2020-10-29 04:24:49 | Mato Grosso, Brazil | ||
754044 | 754044 | 2020-10-28 | Brazil | Mato Grosso do Sul | 81443 | 1581 | 75701 | 3762 | -20.7722 | -54.7852 | 2020-10-29 04:24:49 | Mato Grosso do Sul, Brazil | ||
754045 | 754045 | 2020-10-28 | Brazil | Minas Gerais | 353311 | 8872 | 322163 | 22276 | -18.5122 | -44.555 | 2020-10-29 04:24:49 | Minas Gerais, Brazil | ||
754046 | 754046 | 2020-10-28 | Brazil | Para | 251292 | 6736 | 234376 | 9227 | -1.9981 | -54.9306 | 2020-10-29 04:24:49 | Para, Brazil | ||
754047 | 754047 | 2020-10-28 | Brazil | Paraiba | 131979 | 3076 | 107933 | 20970 | -7.24 | -36.782 | 2020-10-29 04:24:49 | Paraiba, Brazil | ||
754048 | 754048 | 2020-10-28 | Brazil | Parana | 210901 | 5147 | 160340 | 45414 | -25.2521 | -52.0215 | 2020-10-29 04:24:49 | Parana, Brazil | ||
754049 | 754049 | 2020-10-28 | Brazil | Pernambuco | 161161 | 8587 | 142674 | 9900 | -8.8137 | -36.9541 | 2020-10-29 04:24:49 | Pernambuco, Brazil | ||
754050 | 754050 | 2020-10-28 | Brazil | Piaui | 112200 | 2382 | 109363 | 0 | -7.7183 | -42.7289 | 2020-10-29 04:24:49 | Piaui, Brazil | ||
754051 | 754051 | 2020-10-28 | Brazil | Rio Grande do Norte | 81295 | 2582 | 44152 | 33950 | -5.4026 | -36.9541 | 2020-10-29 04:24:49 | Rio Grande do Norte, Brazil | ||
754052 | 754052 | 2020-10-28 | Brazil | Rio Grande do Sul | 240694 | 5699 | 224325 | 10670 | -30.0346 | -51.2177 | 2020-10-29 04:24:49 | Rio Grande do Sul, Brazil | ||
754053 | 754053 | 2020-10-28 | Brazil | Rio de Janeiro | 306672 | 20376 | 281259 | 5037 | -22.9068 | -43.1729 | 2020-10-29 04:24:49 | Rio de Janeiro, Brazil | ||
754054 | 754054 | 2020-10-28 | Brazil | Rondonia | 71121 | 1449 | 64015 | 5657 | -11.5057 | -63.5806 | 2020-10-29 04:24:49 | Rondonia, Brazil | ||
754055 | 754055 | 2020-10-28 | Brazil | Roraima | 56733 | 692 | 52283 | 3494 | -2.7376 | -62.0751 | 2020-10-29 04:24:49 | Roraima, Brazil | ||
754056 | 754056 | 2020-10-28 | Brazil | Santa Catarina | 252551 | 3068 | 237563 | 11920 | -27.2423 | -50.2189 | 2020-10-29 04:24:49 | Santa Catarina, Brazil | ||
754057 | 754057 | 2020-10-28 | Brazil | Sao Paulo | 1103582 | 39007 | 995809 | 68766 | -23.5505 | -46.6333 | 2020-10-29 04:24:49 | Sao Paulo, Brazil | ||
754058 | 754058 | 2020-10-28 | Brazil | Sergipe | 84048 | 2190 | 75849 | 6009 | -10.5741 | -37.3857 | 2020-10-29 04:24:49 | Sergipe, Brazil | ||
754059 | 754059 | 2020-10-28 | Brazil | Tocantins | 75106 | 1095 | 62360 | 11385 | -10.1753 | -48.2982 | 2020-10-29 04:24:49 | 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]);