New York's Metropolitan Transportation Agency provides extensive data sets about customers' use of the subways and trains. How can we use these data to help a green-energy company decide on where to station sign-up teams in the city?
This was my "Project Benson" in the Spring 2015 Metis Data Science Bootcamp.
See blog post at lucdemortier.github.io for a description of the results.
This repository contains iPython notebook MTA_data_analysis.ipynb, with code to analyze MTA data and make some plots.