These data can be used in the area of artificial intelligence (machine learning and deeplearning) and among all obtain more efficient and faster results.

" Is now available on CRAN (v0.1.0). The package provides a tidy format of the daily cases by type (confirmed, recovered, and death). While the CRAN version will be updated on a monthly cadence, the Github version (v0.1.0.9000) is getting updated on a daily bases. For non-R users a CSV format of the data is available (please see links below).

More details available here:

CRAN: https://cran.r-project.org/web/packages/coronavirus/index.html

Github: https://github.com/RamiKrispin/coronavirus

Package site: https://ramikrispin.github.io/coronavirus/

Vignette: https://ramikrispin.github.io/coronavirus/articles/intro_coronavirus_dataset.html

CSV format: https://github.com/RamiKrispin/coronavirus-csv/blob/master/coronavirus_dataset.csv

Author, please: Rami Krispin (Data Scientist at Apple iCloud) .

External link (Linkedin): https://www.linkedin.com/posts/rami-krispin_coronavirus-the-2019-novel-coronavirus-covid-activity-6637719081795616770-1UWu