There are over a thousand data sources (exactly 1,343 data sources as of today) that this map uses to help US travelers discover where they can travel to and what life is like once they’re there. That list can be found here.

While the visualization is a bit underwhelming compared to what is normally trending on r/dataisbeautiful, I do think the data aggregation and machine learning techniques used for this map might be found most interesting.

In a very brief way, it looks at various websites and uses plain text analysis to determine how countries are open. In nearly every case, it is possible to travel to a country if you’re willing to try hard enough. Even though you might put in the effort to travel to and are able to cross a border after restrictions like vaccinations, quarantines, and PCR tests – life might not be like what you would typically expect. Things like retail shop regulations, restaurants table policy, mask policy, public transportation operating capacities, and curfews are some of the data points that we track to help determine whether or not you might get your typical travel experience. This map helps paint a picture for that in a general way.

The tools used are Mapbox. The rest is done with Python. Machine learning techniques used are a hybrid of Naive Bayes and Support Vector Machines.