Update 2020-11-28: I’ve updated the resulting image with data until Nov 27, 2020.

In August I published first an animation of the spreading of SARS-CoV-2 in Germany.

Some days ago I found a similar visualization for Austria by Matthias Schnetzer. But he uses a different scale. His worst colour is for 150 incidents per 100,000 residents during the last 7 days. (I used 50 as last value of the scale.)

He also provides a link to his code He uses a little different way for plotting. So I thought I should update my animation using his way.

I used shinyapps.io for my own shiny app. It’s a great service. You can deploy your app for free, test it and show it to other people. But there’s also a downside: The memory an app can use is limited.

So I was looking for another way to deploy my app. So I took a look at Docker.

As I mentioned earlier I’ve built a shiny app to visualize the development of SARS-CoV-2 in Germany.

Running it locally works very well. But how to deploy an app in the web?

There is a free service at shinyapps.io where you can host your shiny app.

I’ve updated my Shiny-App.

Now you can switch between Bundesländer and Landkreise:

dplyr is a wonderful package for data wrangling. It’s far more useful than pandas at the python front.

There’s also a constant development to make this package even more useful. If you want to see what you can do with the latest version I suggest you have a look at this awesome article with examples.

I’ve enjoyed reading it.