Inspiration
Once we saw how the Yelp API can be used to access information of different businesses in an area, we thought of some whimsical ways we could take advantage of this cool feature. Thus, who would have thought to get the average location of various food establishments in any city? Apparently, us.
What it does
The program searches various restaurant types in a given city and then gets the average of their longitude and latitude, which is then written into a convenient text file.
How we built it
We used Python, the Yelp API, and Dataprep Connector to get all the information of the resturants, then put the coordinates into Google Maps for visualization.
Challenges we ran into
We encountered some trouble as we were not very experienced in APIs or Python and had some trouble getting started with the vast wealth of information that could be gathered with Dataprep. Thankfully we had some good mentors that pointed us in the right direction.
Accomplishments that we're proud of
Since we all had very little experience, the fact that we got something done make us very proud. Also, the pure whimsy of using data in such a way was a fun experience. Being able to point at a place and say "That is the most average sushi place in Vancouver" is very cool
What we learned
We learned how APIs and dataframes work, and how they can be used to create some cool statistics.
What's next for Average Yelper
Who knows? Maybe we'll try and find the average restaurant rating at given location next!


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