For our final project for Data Librarianship and Management, we looked at NYC Open Data’s data on 311 calls for bedbugs over the course of five years. We utilized Python, Pandas, Folium, Geopandas, and Jupyter Notebooks in tandem with the SODA API to create interactive heat maps showing location clusters of 311 calls over time, both separating each year into its own heatmap and documenting all data at once.

This project was done in tandem with Nene Villalobos. An interactive example of a heatmap covering all years of complaints can be found here, and code for the project can be found here. Our final poster can be viewed here. See below for a PDF of our project documentation or download it here.