covid
This data as json, yaml, Notebook, copyable, CSV
rowid | day | country_or_region | province_or_state | admin2 | fips | confirmed | deaths | recovered | active | latitude | longitude | last_update | combined_key |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1452734 | 2020-10-27 | Peru | Amazonas | 16429 | 528 | 0 | 15901 | -5.077253 | -78.050172 | 2020-10-28 04:24:39 | Amazonas, Peru | ||
1452735 | 2020-10-27 | Peru | Ancash | 25708 | 2627 | 0 | 23081 | -9.407125 | -77.67179499999997 | 2020-10-28 04:24:39 | Ancash, Peru | ||
1452736 | 2020-10-27 | Peru | Apurimac | 5617 | 263 | 0 | 5354 | -14.027713 | -72.975378 | 2020-10-28 04:24:39 | Apurimac, Peru | ||
1452737 | 2020-10-27 | Peru | Arequipa | 44287 | 3969 | 0 | 40318 | -15.843524 | -72.475539 | 2020-10-28 04:24:39 | Arequipa, Peru | ||
1452738 | 2020-10-27 | Peru | Ayacucho | 13026 | 764 | 0 | 12262 | -14.091648 | -74.08344 | 2020-10-28 04:24:39 | Ayacucho, Peru | ||
1452739 | 2020-10-27 | Peru | Cajamarca | 21926 | 1433 | 0 | 20493 | -6.430284 | -78.74559599999998 | 2020-10-28 04:24:39 | Cajamarca, Peru | ||
1452740 | 2020-10-27 | Peru | Callao | 36672 | 4901 | 0 | 31771 | -11.954609 | -77.136042 | 2020-10-28 04:24:39 | Callao, Peru | ||
1452741 | 2020-10-27 | Peru | Cusco | 22124 | 1433 | 0 | 20691 | -13.191068 | -72.153609 | 2020-10-28 04:24:39 | Cusco, Peru | ||
1452742 | 2020-10-27 | Peru | Huancavelica | 7189 | 359 | 0 | 6830 | -13.023888 | -75.00277 | 2020-10-28 04:24:39 | Huancavelica, Peru | ||
1452743 | 2020-10-27 | Peru | Huanuco | 17152 | 934 | 0 | 16218 | -9.421676 | -76.040642 | 2020-10-28 04:24:39 | Huanuco, Peru | ||
1452744 | 2020-10-27 | Peru | Ica | 29463 | 3398 | 0 | 26065 | -14.235097 | -75.574821 | 2020-10-28 04:24:39 | Ica, Peru | ||
1452745 | 2020-10-27 | Peru | Junin | 22590 | 2220 | 0 | 20370 | -11.541783 | -74.876968 | 2020-10-28 04:24:39 | Junin, Peru | ||
1452746 | 2020-10-27 | Peru | La Libertad | 32350 | 4412 | 0 | 27938 | -7.92139 | -78.370238 | 2020-10-28 04:24:39 | La Libertad, Peru | ||
1452747 | 2020-10-27 | Peru | Lambayeque | 28403 | 4005 | 0 | 24398 | -6.353049 | -79.824113 | 2020-10-28 04:24:39 | Lambayeque, Peru | ||
1452748 | 2020-10-27 | Peru | Lima | 403028 | 39494 | 0 | 363534 | -11.766533 | -76.60449799999998 | 2020-10-28 04:24:39 | Lima, Peru | ||
1452749 | 2020-10-27 | Peru | Loreto | 21711 | 2693 | 0 | 19018 | -4.124847 | -74.424115 | 2020-10-28 04:24:39 | Loreto, Peru | ||
1452750 | 2020-10-27 | Peru | Madre de Dios | 8715 | 144 | 0 | 8571 | -11.972699 | -70.53171999999998 | 2020-10-28 04:24:39 | Madre de Dios, Peru | ||
1452751 | 2020-10-27 | Peru | Moquegua | 14132 | 811 | 0 | 13321 | -16.860271 | -70.839046 | 2020-10-28 04:24:39 | Moquegua, Peru | ||
1452752 | 2020-10-27 | Peru | Pasco | 5611 | 279 | 0 | 5332 | -10.39655 | -75.307635 | 2020-10-28 04:24:39 | Pasco, Peru | ||
1452753 | 2020-10-27 | Peru | Piura | 38016 | 5495 | 0 | 32521 | -5.133361 | -80.335861 | 2020-10-28 04:24:39 | Piura, Peru | ||
1452754 | 2020-10-27 | Peru | Puno | 16875 | 1393 | 0 | 15482 | -14.995826999999998 | -69.922726 | 2020-10-28 04:24:39 | Puno, Peru | ||
1452755 | 2020-10-27 | Peru | San Martin | 20718 | 1524 | 0 | 19194 | -7.039531 | -76.729127 | 2020-10-28 04:24:39 | San Martin, Peru | ||
1452756 | 2020-10-27 | Peru | Tacna | 12906 | 750 | 0 | 12156 | -17.644160999999997 | -70.27756 | 2020-10-28 04:24:39 | Tacna, Peru | ||
1452757 | 2020-10-27 | Peru | Tumbes | 8304 | 695 | 0 | 7609 | -3.857496 | -80.54525500000003 | 2020-10-28 04:24:39 | Tumbes, Peru | ||
1452758 | 2020-10-27 | Peru | Ucayali | 17622 | 1508 | 0 | 16114 | -9.621718 | -73.444929 | 2020-10-28 04:24:39 | Ucayali, Peru | ||
1452759 | 2020-10-27 | Peru | Unknown | 0 | 0 | 810995 | 0 | 2020-10-28 04:24:39 | Unknown, Peru |