johns_hopkins_csse_daily_reports
Data source: Johns Hopkins CSSE · About: simonw/covid-19-datasette
37 rows where country_or_region = "India" and "day" is on date 2020-11-27 sorted by day descending
This data as json, yaml, Notebook, copyable, CSV (advanced)
Suggested facets: confirmed, active, last_update (date)
province_or_state 37
- Andaman and Nicobar Islands 1
- Andhra Pradesh 1
- Arunachal Pradesh 1
- Assam 1
- Bihar 1
- Chandigarh 1
- Chhattisgarh 1
- Dadra and Nagar Haveli and Daman and Diu 1
- Delhi 1
- Goa 1
- Gujarat 1
- Haryana 1
- Himachal Pradesh 1
- Jammu and Kashmir 1
- Jharkhand 1
- Karnataka 1
- Kerala 1
- Ladakh 1
- Lakshadweep 1
- Madhya Pradesh 1
- Maharashtra 1
- Manipur 1
- Meghalaya 1
- Mizoram 1
- Nagaland 1
- Odisha 1
- Puducherry 1
- Punjab 1
- Rajasthan 1
- Sikkim 1
- Tamil Nadu 1
- Telangana 1
- Tripura 1
- Unknown 1
- Uttar Pradesh 1
- Uttarakhand 1
- West Bengal 1
country_or_region 1
- India · 37 ✖
Link | rowid | day ▲ | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
392171 | 392171 | 2020-11-27 | India | Andaman and Nicobar Islands | 4689 | 61 | 4508 | 120 | 11.225999 | 92.968178 | 2020-11-28 05:25:50 | Andaman and Nicobar Islands, India | ||
392172 | 392172 | 2020-11-27 | India | Andhra Pradesh | 866438 | 6976 | 847325 | 12137 | 15.9129 | 79.74 | 2020-11-28 05:25:50 | Andhra Pradesh, India | ||
392173 | 392173 | 2020-11-27 | India | Arunachal Pradesh | 16231 | 50 | 15270 | 911 | 27.768456 | 96.384277 | 2020-11-28 05:25:50 | Arunachal Pradesh, India | ||
392174 | 392174 | 2020-11-27 | India | Assam | 212320 | 980 | 208068 | 3272 | 26.357149 | 92.830441 | 2020-11-28 05:25:50 | Assam, India | ||
392175 | 392175 | 2020-11-27 | India | Bihar | 232916 | 1248 | 226267 | 5401 | 25.679658 | 85.60484 | 2020-11-28 05:25:50 | Bihar, India | ||
392176 | 392176 | 2020-11-27 | India | Chandigarh | 17157 | 270 | 15697 | 1190 | 30.733839 | 76.76827800000002 | 2020-11-28 05:25:50 | Chandigarh, India | ||
392177 | 392177 | 2020-11-27 | India | Chhattisgarh | 232835 | 2813 | 208183 | 21839 | 21.264705 | 82.035366 | 2020-11-28 05:25:50 | Chhattisgarh, India | ||
392178 | 392178 | 2020-11-27 | India | Dadra and Nagar Haveli and Daman and Diu | 3330 | 2 | 3301 | 27 | 20.194742 | 73.080901 | 2020-11-28 05:25:50 | Dadra and Nagar Haveli and Daman and Diu, India | ||
392179 | 392179 | 2020-11-27 | India | Delhi | 556744 | 8909 | 509654 | 38181 | 28.646519 | 77.10898 | 2020-11-28 05:25:50 | Delhi, India | ||
392180 | 392180 | 2020-11-27 | India | Goa | 47491 | 686 | 45492 | 1313 | 15.359682 | 74.057396 | 2020-11-28 05:25:50 | Goa, India | ||
392181 | 392181 | 2020-11-27 | India | Gujarat | 205116 | 3938 | 186446 | 14732 | 22.694884 | 71.590923 | 2020-11-28 05:25:50 | Gujarat, India | ||
392182 | 392182 | 2020-11-27 | India | Haryana | 228746 | 2345 | 206001 | 20400 | 29.20004 | 76.332824 | 2020-11-28 05:25:50 | Haryana, India | ||
392183 | 392183 | 2020-11-27 | India | Himachal Pradesh | 38327 | 612 | 29510 | 8205 | 31.927213 | 77.233081 | 2020-11-28 05:25:50 | Himachal Pradesh, India | ||
392184 | 392184 | 2020-11-27 | India | Jammu and Kashmir | 108871 | 1676 | 101959 | 5236 | 33.75943 | 76.612638 | 2020-11-28 05:25:50 | Jammu and Kashmir, India | ||
392185 | 392185 | 2020-11-27 | India | Jharkhand | 108577 | 962 | 105453 | 2162 | 23.654536 | 85.557631 | 2020-11-28 05:25:50 | Jharkhand, India | ||
392186 | 392186 | 2020-11-27 | India | Karnataka | 881086 | 11738 | 843950 | 25398 | 14.70518 | 76.166436 | 2020-11-28 05:25:50 | Karnataka, India | ||
392187 | 392187 | 2020-11-27 | India | Kerala | 587707 | 2171 | 521522 | 64014 | 10.450898 | 76.405749 | 2020-11-28 05:25:50 | Kerala, India | ||
392188 | 392188 | 2020-11-27 | India | Ladakh | 8272 | 114 | 7254 | 904 | 34.1526 | 77.5771 | 2020-11-28 05:25:50 | Ladakh, India | ||
392189 | 392189 | 2020-11-27 | India | Lakshadweep | 0 | 0 | 0 | 0 | 13.6999972 | 72.18333259999999 | 2020-11-28 05:25:50 | Lakshadweep, India | ||
392190 | 392190 | 2020-11-27 | India | Madhya Pradesh | 201597 | 3224 | 183696 | 14677 | 23.541513 | 78.289633 | 2020-11-28 05:25:50 | Madhya Pradesh, India | ||
392191 | 392191 | 2020-11-27 | India | Maharashtra | 1808550 | 46898 | 1672627 | 89025 | 19.449759 | 76.108221 | 2020-11-28 05:25:50 | Maharashtra, India | ||
392192 | 392192 | 2020-11-27 | India | Manipur | 24514 | 256 | 21006 | 3252 | 24.738975 | 93.882541 | 2020-11-28 05:25:50 | Manipur, India | ||
392193 | 392193 | 2020-11-27 | India | Meghalaya | 11633 | 110 | 10606 | 917 | 25.536934 | 91.278882 | 2020-11-28 05:25:50 | Meghalaya, India | ||
392194 | 392194 | 2020-11-27 | India | Mizoram | 3806 | 5 | 3367 | 434 | 23.309381 | 92.83822 | 2020-11-28 05:25:50 | Mizoram, India | ||
392195 | 392195 | 2020-11-27 | India | Nagaland | 11091 | 64 | 9805 | 1222 | 26.06702 | 94.470302 | 2020-11-28 05:25:50 | Nagaland, India | ||
392196 | 392196 | 2020-11-27 | India | Odisha | 317239 | 1718 | 309747 | 5774 | 20.505428 | 84.418059 | 2020-11-28 05:25:50 | Odisha, India | ||
392197 | 392197 | 2020-11-27 | India | Puducherry | 36856 | 609 | 35733 | 514 | 11.882658 | 78.86498 | 2020-11-28 05:25:50 | Puducherry, India | ||
392198 | 392198 | 2020-11-27 | India | Punjab | 150086 | 4737 | 137630 | 7719 | 30.841465000000003 | 75.40879 | 2020-11-28 05:25:50 | Punjab, India | ||
392199 | 392199 | 2020-11-27 | India | Rajasthan | 260040 | 2255 | 229602 | 28183 | 26.583423 | 73.847973 | 2020-11-28 05:25:50 | Rajasthan, India | ||
392200 | 392200 | 2020-11-27 | India | Sikkim | 4908 | 103 | 4541 | 264 | 27.571671 | 88.472712 | 2020-11-28 05:25:50 | Sikkim, India | ||
392201 | 392201 | 2020-11-27 | India | Tamil Nadu | 777616 | 11681 | 754826 | 11109 | 11.006091 | 78.400624 | 2020-11-28 05:25:50 | Tamil Nadu, India | ||
392202 | 392202 | 2020-11-27 | India | Telangana | 268418 | 1451 | 256330 | 10637 | 18.1124 | 79.0193 | 2020-11-28 05:25:50 | Telangana, India | ||
392203 | 392203 | 2020-11-27 | India | Tripura | 32641 | 370 | 31568 | 703 | 23.746783 | 91.743565 | 2020-11-28 05:25:50 | Tripura, India | ||
392204 | 392204 | 2020-11-27 | India | Unknown | 0 | 0 | 0 | 0 | 2020-11-28 05:25:50 | Unknown, India | ||||
392205 | 392205 | 2020-11-27 | India | Uttar Pradesh | 537747 | 7697 | 504411 | 25639 | 26.925425 | 80.560982 | 2020-11-28 05:25:50 | Uttar Pradesh, India | ||
392206 | 392206 | 2020-11-27 | India | Uttarakhand | 73527 | 1201 | 67514 | 4812 | 30.156447 | 79.197608 | 2020-11-28 05:25:50 | Uttarakhand, India | ||
392207 | 392207 | 2020-11-27 | India | West Bengal | 473987 | 8270 | 441100 | 24617 | 23.814082 | 87.979803 | 2020-11-28 05:25:50 | West Bengal, India |
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]);