I made another small update to my SARS-CoV-2 Shiny App. As the discussion in Germany about whether to open schools and shops starts again I was wondering how I could visualize a simple prediction of future infections. So I did the following simple appr...

I’ve updated my Shiny App slightly. Because of the appearence of the mutation B 1.1.7 I want to see the current R-value, the current reproduction rate of the virus per Landkreis or Bundesland. The scientists suspect that B 1.1.7 has a 50% higher...

How to detect the unexpected? Is the behaviour of some measured value normal or did something unexpected happen? To answer these questions we need to detect anomalous behaviour in a time series. In this article I want to show you how we can do this wit...

At work I’m using Tableau as a tool for visualizing data with the possibility for the user to filter the data he’s looking at. So the user doesn’t need to program. He can use just is mouse which is great for people who don’t know exactly ...

I’ve updated my Shiny-App. Now you can switch between Bundesländer and Landkreise: The lineplot showing the development of Covid-19 infections per day contains one or two additional lines for comparison: The value of the chosen Bundesland and fo...

Today I’ve updated my Shiny App I wrote about a few days ago. I’m using now Flexdashboard to embed a shiny app into an Rmarkdown-File. Using Flexdashboard caused a little trouble when using observeEvent(). But currently the apps works, but throws a warning regarding observeEvent() in respect to ...

I’ve visualized the Covid-19 data I’ve got from Pavel Mayer in different ways ( see https://www.rstats-tips.net/2020/08/16/additional-visualization-of-covid-19-development-in-germany/ or https://www.rstats-tips.net/2020/08/09/visualization...