Personal report of the daily NCOV-19 case, licensed in Creative Commons CC0 v1.0, free to use but I'm not responsible for damage from its use.
Worldwide COVID-19 dataset is taken from datahub.io and truncated into 35 days back. Here are samples of it:
| Date | Country | Confirmed | Recovered | Deaths | |
|---|---|---|---|---|---|
| 247 | 2020-09-25 | Afghanistan | 39186 | 32619 | 1451.0 |
| 248 | 2020-09-26 | Afghanistan | 39192 | 32635 | 1453.0 |
| 249 | 2020-09-27 | Afghanistan | 39227 | 32642 | 1453.0 |
| 250 | 2020-09-28 | Afghanistan | 39233 | 32642 | 1455.0 |
| 251 | 2020-09-29 | Afghanistan | 39254 | 32746 | 1458.0 |
| ... | ... | ... | ... | ... | ... |
| 53385 | 2020-10-24 | Zimbabwe | 8269 | 7785 | 236.0 |
| 53386 | 2020-10-25 | Zimbabwe | 8276 | 7797 | 237.0 |
| 53387 | 2020-10-26 | Zimbabwe | 8303 | 7797 | 242.0 |
| 53388 | 2020-10-27 | Zimbabwe | 8315 | 7804 | 242.0 |
| 53389 | 2020-10-28 | Zimbabwe | 8320 | 7845 | 242.0 |
6460 rows × 5 columns
Indonesia COVID-19 dataset is derived from the worldwide one.
| Date | Confirmed | Recovered | Deaths | |
|---|---|---|---|---|
| 22756 | 2020-10-24 | 385980 | 309219 | 13205.0 |
| 22757 | 2020-10-25 | 389712 | 313764 | 13299.0 |
| 22758 | 2020-10-26 | 392934 | 317672 | 13411.0 |
| 22759 | 2020-10-27 | 396454 | 322248 | 13512.0 |
| 22760 | 2020-10-28 | 400483 | 325793 | 13612.0 |
Difference of each days can be seen in this table:
| Date | Confirmed | Recovered | Deaths | |
|---|---|---|---|---|
| 22756 | 2020-10-24 | 4070.0 | 4119.0 | 128.0 |
| 22757 | 2020-10-25 | 3732.0 | 4545.0 | 94.0 |
| 22758 | 2020-10-26 | 3222.0 | 3908.0 | 112.0 |
| 22759 | 2020-10-27 | 3520.0 | 4576.0 | 101.0 |
| 22760 | 2020-10-28 | 4029.0 | 3545.0 | 100.0 |
China COVID-19 dataset is derived from the worldwide one.
| Date | Confirmed | Recovered | Deaths | |
|---|---|---|---|---|
| 10392 | 2020-10-24 | 91128 | 85974 | 4739.0 |
| 10393 | 2020-10-25 | 91151 | 86002 | 4739.0 |
| 10394 | 2020-10-26 | 91175 | 86018 | 4739.0 |
| 10395 | 2020-10-27 | 91222 | 86031 | 4739.0 |
| 10396 | 2020-10-28 | 91271 | 86049 | 4739.0 |
Difference of each days can be seen in this table:
| Date | Confirmed | Recovered | Deaths | |
|---|---|---|---|---|
| 10392 | 2020-10-24 | 20.0 | 24.0 | 0.0 |
| 10393 | 2020-10-25 | 23.0 | 28.0 | 0.0 |
| 10394 | 2020-10-26 | 24.0 | 16.0 | 0.0 |
| 10395 | 2020-10-27 | 47.0 | 13.0 | 0.0 |
| 10396 | 2020-10-28 | 49.0 | 18.0 | 0.0 |
Italy COVID-19 dataset is derived from the worldwide one.
| Date | Confirmed | Recovered | Deaths | |
|---|---|---|---|---|
| 24161 | 2020-10-24 | 504509 | 264117 | 37210.0 |
| 24162 | 2020-10-25 | 525782 | 266203 | 37338.0 |
| 24163 | 2020-10-26 | 542789 | 268626 | 37479.0 |
| 24164 | 2020-10-27 | 564778 | 271988 | 37700.0 |
| 24165 | 2020-10-28 | 589766 | 275404 | 37905.0 |
Difference of each days can be seen in this table:
| Date | Confirmed | Recovered | Deaths | |
|---|---|---|---|---|
| 24161 | 2020-10-24 | 19640.0 | 2309.0 | 151.0 |
| 24162 | 2020-10-25 | 21273.0 | 2086.0 | 128.0 |
| 24163 | 2020-10-26 | 17007.0 | 2423.0 | 141.0 |
| 24164 | 2020-10-27 | 21989.0 | 3362.0 | 221.0 |
| 24165 | 2020-10-28 | 24988.0 | 3416.0 | 205.0 |