TAMU Datathon 2019

Project Title: "Taco 'Bout It!"

Inspiration

Tacos and burritos are delicious, obviously!!!

Data

We used this list of ~19,000 restaurants that serve tacos and/or burritos, available on Kaggle.

What it does

We try to answer the broad question "where are the authentic Mexican restaurants in the U.S."?

How we built it

Coding in Python, using jupyter notebooks, and on the backs of pandas and plotly.

Challenges we ran into

Data cleaning took way longer than expected! For example, every location metric was incomplete in some way (missing values, inconsistent implementation, etc.).

Also, there were at least FOUR different ways to refer to "McDonald's" and "Sonic" in the dataset!

What we learned

Learned how to use geopy (even though we ended up not using it), and got much more familiar with plotly!

What's next for Taco 'Bout It!

Clean up the code a little bit, make a visualization of all the authentic tacos/burritos in the U.S. using something like seaborn.kdeplot, and put it up on Github!

Built With

jupyter numpy pandas plotly python

We did this project as part of the very first TAMU Datathon. You can also view our project summary on Devpost.