Stanford University vs Harvard University

Suppose that a person applied to study for Stanford University and Harvard University. Then he/she accepted by both of them. Since they are one of the best university, he/she felt confused. On the other hand, art and entertainment venues around the university are vital for him/her.

In order to solve this problem, I google the address of universities and retrieve their geographical coordinates via geolocater library. After that, I use Foursquare API to collect data of art and entertainment venues around both universities.

By using the folium map library, I pinpoint venues for both universities.

Also, I demonstrate categories by grouping them via the bar plot.

For further analyzing, I apply one-hot encoding and k-means clusters for the dataframes.

Next, I create a folium map for the clusters.

As comparing venues for both universities, I merge category columns of dataframes. Afterward, I note similarity and dissimilarity between them along with the grouped bar pilot.

To sum up, Stanford University has more venues and different kinds of venues than Harvard University.

Since art and entertainment venues are very important for him/her and Stanford University has more art and entertainment venues, he/she would prefer Stanford University.

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