First Project: Affordable Housing in Brooklyn, New York.
Programming Languages: Python
Libraries: pandas, matplotlib, numpy
Markup Language: HTML
Resources: NYC Open Data, Affordable Housing Production by Building
Purpose of Project:
With skyrocketing rent prices, Brooklyn no longer remains the historical alternative to Manhattan's egregious cost of living. This project analyzed housing data across four neighborhoods in the borough — the wealthiest, poorest, most populous, and least populous (based on population densities rather than gross tallies) — to provide an accurate representation of Brooklyn's overall demographics and compare differences in available affordable housing infrastructure between these neighborhoods. The data analysis involved various metrics per neighborhood, including affordable unit proportions (by number of bedrooms, income level), local rental-to-ownership rates, poverty rates, and more. This specific portion of the project narrows in on Prospect Heights, the "wealthiest" neighborhood of the borough.
Practice of:
--> Data Analysis
--> Data Visualization
View webpage HERE.