In my last post, we learned how to import the raw COVID-19 data from the Johns Hopkins GitHub repository. This post will demonstrate how to convert the raw data to time-series data. We’ll also create some tables and graphs along the way. Read more…
In my last post, I mentioned that I did not want to distribute my covid19.ado file because “it could be rendered useless if or when Johns Hopkins changes its data”. I wrote that on March 19, 2020, and the data changed on March 23, 2020. This will likely happen again (and again, and again …). I may post updates in the future as the data change, but you may need to adapt sooner than I can post. So let’s see how we can update our code to adapt to the changing data. Read more…
Like many of you, I am working from home and checking the latest news on COVID-19 frequently. I see a lot of numbers and graphs, so I looked around for the “official data”. One of the best data sources I have found is at the GitHub website for Johns Hopkins Whiting School of Engineering Center for Systems Science and Engineering. The data for each day are stored in a separate file, so I wrote a little Stata command called covid19 to download, combine, save, and graph these data. Read more…