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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1822934 | 2020-10-04 | Peru | Amazonas | 15095 | 502 | 0 | 14593 | -5.077253 | -78.050172 | 2020-10-05 04:23:33 | Amazonas, Peru | ||
1822935 | 2020-10-04 | Peru | Ancash | 23034 | 2540 | 0 | 20494 | -9.407125 | -77.67179499999997 | 2020-10-05 04:23:33 | Ancash, Peru | ||
1822936 | 2020-10-04 | Peru | Apurimac | 4845 | 233 | 0 | 4612 | -14.027713 | -72.975378 | 2020-10-05 04:23:33 | Apurimac, Peru | ||
1822937 | 2020-10-04 | Peru | Arequipa | 42109 | 3833 | 0 | 38276 | -15.843524 | -72.475539 | 2020-10-05 04:23:33 | Arequipa, Peru | ||
1822938 | 2020-10-04 | Peru | Ayacucho | 11643 | 714 | 0 | 10929 | -14.091648 | -74.08344 | 2020-10-05 04:23:33 | Ayacucho, Peru | ||
1822939 | 2020-10-04 | Peru | Cajamarca | 20086 | 1359 | 0 | 18727 | -6.430284 | -78.74559599999998 | 2020-10-05 04:23:33 | Cajamarca, Peru | ||
1822940 | 2020-10-04 | Peru | Callao | 32915 | 4740 | 0 | 28175 | -11.954609 | -77.136042 | 2020-10-05 04:23:33 | Callao, Peru | ||
1822941 | 2020-10-04 | Peru | Cusco | 20688 | 1356 | 0 | 19332 | -13.191068 | -72.153609 | 2020-10-05 04:23:33 | Cusco, Peru | ||
1822942 | 2020-10-04 | Peru | Huancavelica | 6803 | 334 | 0 | 6469 | -13.023888 | -75.00277 | 2020-10-05 04:23:33 | Huancavelica, Peru | ||
1822943 | 2020-10-04 | Peru | Huanuco | 16196 | 878 | 0 | 15318 | -9.421676 | -76.040642 | 2020-10-05 04:23:33 | Huanuco, Peru | ||
1822944 | 2020-10-04 | Peru | Ica | 27867 | 3272 | 0 | 24595 | -14.235097 | -75.574821 | 2020-10-05 04:23:33 | Ica, Peru | ||
1822945 | 2020-10-04 | Peru | Junin | 20037 | 2121 | 0 | 17916 | -11.541783 | -74.876968 | 2020-10-05 04:23:33 | Junin, Peru | ||
1822946 | 2020-10-04 | Peru | La Libertad | 29327 | 4296 | 0 | 25031 | -7.92139 | -78.370238 | 2020-10-05 04:23:33 | La Libertad, Peru | ||
1822947 | 2020-10-04 | Peru | Lambayeque | 26455 | 3760 | 0 | 22695 | -6.353049 | -79.824113 | 2020-10-05 04:23:33 | Lambayeque, Peru | ||
1822948 | 2020-10-04 | Peru | Lima | 373982 | 38077 | 0 | 335905 | -11.766533 | -76.60449799999998 | 2020-10-05 04:23:33 | Lima, Peru | ||
1822949 | 2020-10-04 | Peru | Loreto | 19330 | 2653 | 0 | 16677 | -4.124847 | -74.424115 | 2020-10-05 04:23:33 | Loreto, Peru | ||
1822950 | 2020-10-04 | Peru | Madre de Dios | 8253 | 138 | 0 | 8115 | -11.972699 | -70.53171999999998 | 2020-10-05 04:23:33 | Madre de Dios, Peru | ||
1822951 | 2020-10-04 | Peru | Moquegua | 13367 | 776 | 0 | 12591 | -16.860271 | -70.839046 | 2020-10-05 04:23:33 | Moquegua, Peru | ||
1822952 | 2020-10-04 | Peru | Pasco | 5137 | 268 | 0 | 4869 | -10.39655 | -75.307635 | 2020-10-05 04:23:33 | Pasco, Peru | ||
1822953 | 2020-10-04 | Peru | Piura | 35469 | 5303 | 0 | 30166 | -5.133361 | -80.335861 | 2020-10-05 04:23:33 | Piura, Peru | ||
1822954 | 2020-10-04 | Peru | Puno | 15127 | 1314 | 0 | 13813 | -14.995826999999998 | -69.922726 | 2020-10-05 04:23:33 | Puno, Peru | ||
1822955 | 2020-10-04 | Peru | San Martin | 18155 | 1471 | 0 | 16684 | -7.039531 | -76.729127 | 2020-10-05 04:23:33 | San Martin, Peru | ||
1822956 | 2020-10-04 | Peru | Tacna | 12043 | 725 | 0 | 11318 | -17.644160999999997 | -70.27756 | 2020-10-05 04:23:33 | Tacna, Peru | ||
1822957 | 2020-10-04 | Peru | Tumbes | 7423 | 666 | 0 | 6757 | -3.857496 | -80.54525500000003 | 2020-10-05 04:23:33 | Tumbes, Peru | ||
1822958 | 2020-10-04 | Peru | Ucayali | 16178 | 1479 | 0 | 14699 | -9.621718 | -73.444929 | 2020-10-05 04:23:33 | Ucayali, Peru | ||
1822959 | 2020-10-04 | Peru | Unknown | 0 | 0 | 700868 | 0 | 2020-10-05 04:23:33 | Unknown, Peru |