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CoViD-19 Data Analysis

Some data analysis in python around the covid-19 data (including survival analysis with Kaplan-Meier).

Data Source: CSSEGISandData/COVID-19, the data behind the dashboard: Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU).

The first notebook just visualizes the numbers on a daily basis for a few regions: covid-19-data-analysis.ipynb

The second notebook does some survival analysis via Kaplan-Meier: covid-19-survival.ipynb

Read more about the background in the associated blog post here: CoViD-19 Data Analysis.

Note / Caveat

It seems that the ?flush_cache=true flag for jupyter nbviewer does not work any longer. Therefore by clicking on the above links you may get outdated results. You can easily spot this if the last updated: at the very top of the notebook is older than the last commit (just compare this value to the values you see when clicking on the github links below).

To be sure you get the latest versions you can either look at the notebooks on github (which are not so pretty):

Or you checkout the repository and run the notebooks locally on your machine.

You can’t perform that action at this time.