COVID-19 Visualizations by Choropleth Maps
In this post, we will go through interactive maps to understand the spread of the current pandemic, COVID-19.
I was looking on Kaggle and came across good datasets of COVID-19, and made me think of visualizations that I can make from the data(You can find the dataset here).
I will go through the visualizations and I will post the link to notebook at the end of the post, for anyone interested in source codes. If you want the source code by now, the notebook is linked here on Kaggle notebooks.
Choropleth map is used for displaying geographical areas that are colored, or shaded. They are typically used to represent the variability of the desired features in a given region. An example is how in below map, I am interested in looking number of COVID-19 cases in Rwanda.
With the Choropleth map, we can make a static and animated map. Let’s start with Static map. We can see that the USA leads the number of confirmed cases, along with countries like China, Italy, Spain, etc.
With the animated map, we can quickly see the difference. We are looking at how the number of cases increased over time with this interactive plots.
The above maps show increases in the number of cases over time. The same thing for the number of deaths can be done. Taking an example to China, It may look like this:
Thank you for reading. To write this post, I was inspired by Terence Shin, Data Scientist that I am constantly following. Source codes are linked here on my Kaggle notebook.
Lastly….Stay home, Stay Safe, and Keep learning. I will love to share with you my next post. When I saw this image by Sharon on Unsplash, I felt it could be a good end of this post.
