Covid-19 analysis version 4

Repository#

We proudly release version 4 of our work. It introduces some new functionality to generate world maps showing heatmaps of the outbreak. A new class called Colormap generates a color value for a given number in the range of a given minimum and maximum. The CovidMap class takes the CovidCases data frame and picks up any column of the data frame, calculates the minimum and maximum for a given date and gets the color value for each country. This data is then fed into Pygal, a Python module to show maps. The following picture shows such a map of the 7-day incidence for October 22nd:

Of course the Jupyter Notebook has been modified to show this maps. See its sample output here.

There have been major changes in the documentation as well. Since version 4 we use the Python Docstring Generator for the documentation which helps a lot during the development as it always displays the documentation while typing in Visual Studio Code.
Refer to the changelog available on GitHub for a complete list of changes in this release.

YouTube videos#

Using the new functionality we generated some time-lapse videos that we published on YouTube. The videos help a lot to understand the outbreak over the time and they are also available in our download area.

This website#

We are now using tags to group the posts to help you finding relevant posts. You can use the following link to show all available tags and the posts for a tag.