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 2020-11-02 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3303925 | 3303925 | 2020-11-02 | Brazil | Acre | 30954 | 693 | 28185 | 2076 | -9.0238 | -70.812 | 2020-11-03 06:00:16 | Acre, Brazil | ||
3303926 | 3303926 | 2020-11-02 | Brazil | Alagoas | 90918 | 2246 | 87995 | 677 | -9.5713 | -36.782 | 2020-11-03 06:00:16 | Alagoas, Brazil | ||
3303927 | 3303927 | 2020-11-02 | Brazil | Amapa | 52653 | 749 | 44477 | 7427 | 0.902 | -52.003 | 2020-11-03 06:00:16 | Amapa, Brazil | ||
3303928 | 3303928 | 2020-11-02 | Brazil | Amazonas | 162139 | 4565 | 138303 | 19271 | -3.4168 | -65.8561 | 2020-11-03 06:00:16 | Amazonas, Brazil | ||
3303929 | 3303929 | 2020-11-02 | Brazil | Bahia | 354576 | 7667 | 340817 | 6092 | -12.5797 | -41.7007 | 2020-11-03 06:00:16 | Bahia, Brazil | ||
3303930 | 3303930 | 2020-11-02 | Brazil | Ceara | 274673 | 9362 | 234853 | 30400 | -5.4984 | -39.3206 | 2020-11-03 06:00:16 | Ceara, Brazil | ||
3303931 | 3303931 | 2020-11-02 | Brazil | Distrito Federal | 213636 | 3695 | 204811 | 5130 | -15.7998 | -47.8645 | 2020-11-03 06:00:16 | Distrito Federal, Brazil | ||
3303932 | 3303932 | 2020-11-02 | Brazil | Espirito Santo | 156681 | 3864 | 144540 | 8277 | -19.1834 | -40.3089 | 2020-11-03 06:00:16 | Espirito Santo, Brazil | ||
3303933 | 3303933 | 2020-11-02 | Brazil | Goias | 256256 | 5762 | 246700 | 3699 | -15.827 | -49.8362 | 2020-11-03 06:00:16 | Goias, Brazil | ||
3303934 | 3303934 | 2020-11-02 | Brazil | Maranhao | 185986 | 4070 | 179392 | 2524 | -4.9609 | -45.2744 | 2020-11-03 06:00:16 | Maranhao, Brazil | ||
3303935 | 3303935 | 2020-11-02 | Brazil | Mato Grosso | 143978 | 3862 | 134656 | 4778 | -12.6819 | -56.9211 | 2020-11-03 06:00:16 | Mato Grosso, Brazil | ||
3303936 | 3303936 | 2020-11-02 | Brazil | Mato Grosso do Sul | 83022 | 1612 | 77753 | 3522 | -20.7722 | -54.7852 | 2020-11-03 06:00:16 | Mato Grosso do Sul, Brazil | ||
3303937 | 3303937 | 2020-11-02 | Brazil | Minas Gerais | 360830 | 9047 | 330021 | 21762 | -18.5122 | -44.555 | 2020-11-03 06:00:16 | Minas Gerais, Brazil | ||
3303938 | 3303938 | 2020-11-02 | Brazil | Para | 253449 | 6762 | 237094 | 9377 | -1.9981 | -54.9306 | 2020-11-03 06:00:16 | Para, Brazil | ||
3303939 | 3303939 | 2020-11-02 | Brazil | Paraiba | 133286 | 3108 | 108785 | 21393 | -7.24 | -36.782 | 2020-11-03 06:00:16 | Paraiba, Brazil | ||
3303940 | 3303940 | 2020-11-02 | Brazil | Parana | 214450 | 5232 | 162293 | 46925 | -25.2521 | -52.0215 | 2020-11-03 06:00:16 | Parana, Brazil | ||
3303941 | 3303941 | 2020-11-02 | Brazil | Pernambuco | 163039 | 8638 | 145097 | 9304 | -8.8137 | -36.9541 | 2020-11-03 06:00:16 | Pernambuco, Brazil | ||
3303942 | 3303942 | 2020-11-02 | Brazil | Piaui | 113942 | 2432 | 111046 | 308 | -7.7183 | -42.7289 | 2020-11-03 06:00:16 | Piaui, Brazil | ||
3303943 | 3303943 | 2020-11-02 | Brazil | Rio Grande do Norte | 81901 | 2592 | 45546 | 33363 | -5.4026 | -36.9541 | 2020-11-03 06:00:16 | Rio Grande do Norte, Brazil | ||
3303944 | 3303944 | 2020-11-02 | Brazil | Rio Grande do Sul | 249437 | 5805 | 232855 | 10777 | -30.0346 | -51.2177 | 2020-11-03 06:00:16 | Rio Grande do Sul, Brazil | ||
3303945 | 3303945 | 2020-11-02 | Brazil | Rio de Janeiro | 311308 | 20636 | 286181 | 4491 | -22.9068 | -43.1729 | 2020-11-03 06:00:16 | Rio de Janeiro, Brazil | ||
3303946 | 3303946 | 2020-11-02 | Brazil | Rondonia | 71953 | 1457 | 64932 | 5564 | -11.5057 | -63.5806 | 2020-11-03 06:00:16 | Rondonia, Brazil | ||
3303947 | 3303947 | 2020-11-02 | Brazil | Roraima | 57624 | 692 | 53124 | 3672 | -2.7376 | -62.0751 | 2020-11-03 06:00:16 | Roraima, Brazil | ||
3303948 | 3303948 | 2020-11-02 | Brazil | Santa Catarina | 261543 | 3129 | 246376 | 12038 | -27.2423 | -50.2189 | 2020-11-03 06:00:16 | Santa Catarina, Brazil | ||
3303949 | 3303949 | 2020-11-02 | Brazil | Sao Paulo | 1117795 | 39346 | 1012267 | 66182 | -23.5505 | -46.6333 | 2020-11-03 06:00:16 | Sao Paulo, Brazil | ||
3303950 | 3303950 | 2020-11-02 | Brazil | Sergipe | 84491 | 2217 | 77035 | 5239 | -10.5741 | -37.3857 | 2020-11-03 06:00:16 | Sergipe, Brazil | ||
3303951 | 3303951 | 2020-11-02 | Brazil | Tocantins | 75680 | 1100 | 64304 | 10247 | -10.1753 | -48.2982 | 2020-11-03 06:00:16 | 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]);