Finally, I reached the end of a rather turbulent academic term and have made the time to look through some COVID-19 data. Better late than never, right? Now in June, it seems the peak of COVID is behind us and almost every state in the U.S. has started to relax COVID-related restrictions. A few states have even lifted restrictions completely.
For my research work, I have recently needed to develop some geographic data processing and
visualizing skills. The available tools have really impressed me, so this post is dedicated to
showcasing some of them. Since my research is not yet at a stage where I should be sharing results,
I figured that COVID should suffice as an interesting and probably more relevant topic. So
specifically, this post provides step-by-step instructions on how to produce
this spatiotemporal COVID-19 illustration, a sample of which is shown below,
using primarily the pandas and plotly Python packages. Note that the full illustration has an
interactive time element and may take a moment to fully load, as it is a large file.