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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2060029 | 2020-09-01 | Peru | Amazonas | 10883 | 423 | 0 | 10460 | -5.077253 | -78.050172 | 2020-09-02 04:28:25 | Amazonas, Peru | ||
2060030 | 2020-09-01 | Peru | Ancash | 18459 | 2290 | 0 | 16169 | -9.407125 | -77.67179499999997 | 2020-09-02 04:28:25 | Ancash, Peru | ||
2060031 | 2020-09-01 | Peru | Apurimac | 2842 | 153 | 0 | 2689 | -14.027713 | -72.975378 | 2020-09-02 04:28:25 | Apurimac, Peru | ||
2060032 | 2020-09-01 | Peru | Arequipa | 32903 | 3434 | 0 | 29469 | -15.843524 | -72.475539 | 2020-09-02 04:28:25 | Arequipa, Peru | ||
2060033 | 2020-09-01 | Peru | Ayacucho | 8208 | 581 | 0 | 7627 | -14.091648 | -74.08344 | 2020-09-02 04:28:25 | Ayacucho, Peru | ||
2060034 | 2020-09-01 | Peru | Cajamarca | 15189 | 1166 | 0 | 14023 | -6.430284 | -78.74559599999998 | 2020-09-02 04:28:25 | Cajamarca, Peru | ||
2060035 | 2020-09-01 | Peru | Callao | 27489 | 4332 | 0 | 23157 | -11.954609 | -77.136042 | 2020-09-02 04:28:25 | Callao, Peru | ||
2060036 | 2020-09-01 | Peru | Cusco | 15235 | 1086 | 0 | 14149 | -13.191068 | -72.153609 | 2020-09-02 04:28:25 | Cusco, Peru | ||
2060037 | 2020-09-01 | Peru | Huancavelica | 4714 | 278 | 0 | 4436 | -13.023888 | -75.00277 | 2020-09-02 04:28:25 | Huancavelica, Peru | ||
2060038 | 2020-09-01 | Peru | Huanuco | 12262 | 772 | 0 | 11490 | -9.421676 | -76.040642 | 2020-09-02 04:28:25 | Huanuco, Peru | ||
2060039 | 2020-09-01 | Peru | Ica | 21013 | 2907 | 0 | 18106 | -14.235097 | -75.574821 | 2020-09-02 04:28:25 | Ica, Peru | ||
2060040 | 2020-09-01 | Peru | Junin | 14995 | 1822 | 0 | 13173 | -11.541783 | -74.876968 | 2020-09-02 04:28:25 | Junin, Peru | ||
2060041 | 2020-09-01 | Peru | La Libertad | 22616 | 3929 | 0 | 18687 | -7.92139 | -78.370238 | 2020-09-02 04:28:25 | La Libertad, Peru | ||
2060042 | 2020-09-01 | Peru | Lambayeque | 22253 | 3350 | 0 | 18903 | -6.353049 | -79.824113 | 2020-09-02 04:28:25 | Lambayeque, Peru | ||
2060043 | 2020-09-01 | Peru | Lima | 309162 | 34061 | 0 | 275101 | -11.766533 | -76.60449799999998 | 2020-09-02 04:28:25 | Lima, Peru | ||
2060044 | 2020-09-01 | Peru | Loreto | 15573 | 2607 | 0 | 12966 | -4.124847 | -74.424115 | 2020-09-02 04:28:25 | Loreto, Peru | ||
2060045 | 2020-09-01 | Peru | Madre de Dios | 6059 | 129 | 0 | 5930 | -11.972699 | -70.53171999999998 | 2020-09-02 04:28:25 | Madre de Dios, Peru | ||
2060046 | 2020-09-01 | Peru | Moquegua | 9008 | 703 | 0 | 8305 | -16.860271 | -70.839046 | 2020-09-02 04:28:25 | Moquegua, Peru | ||
2060047 | 2020-09-01 | Peru | Pasco | 3860 | 210 | 0 | 3650 | -10.39655 | -75.307635 | 2020-09-02 04:28:25 | Pasco, Peru | ||
2060048 | 2020-09-01 | Peru | Piura | 28742 | 4822 | 0 | 23920 | -5.133361 | -80.335861 | 2020-09-02 04:28:25 | Piura, Peru | ||
2060049 | 2020-09-01 | Peru | Puno | 8756 | 1054 | 0 | 7702 | -14.995826999999998 | -69.922726 | 2020-09-02 04:28:25 | Puno, Peru | ||
2060050 | 2020-09-01 | Peru | San Martin | 13674 | 1356 | 0 | 12318 | -7.039531 | -76.729127 | 2020-09-02 04:28:25 | San Martin, Peru | ||
2060051 | 2020-09-01 | Peru | Tacna | 8639 | 585 | 0 | 8054 | -17.644160999999997 | -70.27756 | 2020-09-02 04:28:25 | Tacna, Peru | ||
2060052 | 2020-09-01 | Peru | Tumbes | 5735 | 607 | 0 | 5128 | -3.857496 | -80.54525500000003 | 2020-09-02 04:28:25 | Tumbes, Peru | ||
2060053 | 2020-09-01 | Peru | Ucayali | 13768 | 1382 | 0 | 12386 | -9.621718 | -73.444929 | 2020-09-02 04:28:25 | Ucayali, Peru | ||
2060054 | 2020-09-01 | Peru | Unknown | 0 | 0 | 471599 | 0 | 2020-09-02 04:28:25 | Unknown, Peru |