Mapping Access Inequalities with Python, Pandas, and Google Places

Food deserts. Bank deserts. Education Deserts. We've heard the terms, but how can we help? Perhaps the first step is to identify where these deserts exist. Using a combination of technologies including Python, Pandas, the Google Places API, Matplotlib, and Tableau, along with publicly available data from the US Census -- our speaker will demonstrate how fairly simple code can be used to quickly scan the United States for pockets of access inequality. Audience members with basic experience in Python will have an opportunity to follow along, while audience members new to coding can learn the fundamentals of what's possible using an API-driven approach to analyzing social phenomena.
Presenters

Ahmed Haque

Senior Vice President - Academics (Trilogy Education Services)
Selection Status:

Selected

Slides