In the beginning of the project you can see similarities and differences between
Moscow, Russia and NY State, USA.
Then I've parsed geodata from open sources, and visualized them on map of Moscow.
I decided to help people avoid dengerous venues in their districts, so I used
Foursquare API to get information about most popular venues near places, where
COVID-19 was detected by ambulance.
Logicaly, lots of people could visit these venues at same time and get infected.
I want to warn them.
I performed kNN clustering to group areas with similar venues.
Notice, that it is not the best clustering. It can be highly improved.
So, you can see it on maps in this Jupyter Notebook.
In the very bottom of this notebook you can see table with venues, that should be avoided at all.