This project was created to try out reactable, an R library which let’s you present datatables in a much more appealing and functioning form. Since many people are interested in the pandemic situation, I have decided to use OWID’s public COVID data and share the result here on github.
The following table contains useful metrics to quickly get an idea about the covid situation in different countries. You may filter by typing in the blank space under the Country and Continent headers. You may also sort the table with the headers by clicking on them (click twice for descending order)
A few words about the metrics: Every column builds on smoothed data, which was done with a 7-day moving average. The “/M Pop” means that the value is projected into 1 million people for the current region. The tooltips appearing on the time series show the smoothed case counts, without projecting it to a million people!
Datasource: https://github.com/owid/covid-19-data
Used R libraries: tidyverse, rmarkdown, reactable