/queens

Primary LanguageJupyter Notebook

Affordable Housing in Queens - MHC Project

https://nbaulib.github.io/queens/

Overview

This project explores affordable housing in four Queens neighborhoods: Astoria, Elmhurst, Flushing, and Jackson Heights. The investigation explores demographic data, neighborhoods ranks, and analyzes the number of affordable housing units using the Affordable Housing Production by Building dataset.

Project Contributors

  • Hillary Pham
  • Nico Bautista-Libreros
  • Oliver Tangney
  • Tesneem Essa

Project Execution

The project involves:

  1. Demographic Analysis: Utilizing data from Social Explorer to understand the population characteristics of each neighborhood.

  2. Affordable Housing: Investigating obstacles faced by renters in light of rising rents. Exploring factors specific to our neighborhood that may influence the ease or difficulty of renting.

  3. Highlighted Map: Creating a highlighted map centered around our neighborhood. This involves manipulating image brightness using Python.

  4. Data Exploration: Analyzing the Affordable Housing Production by Building dataset to report on the number of buildings, units, and projects in each neighborhood.

  5. Neighborhood Map: Utilizing folium to generate an HTML map with markers highlighting affordable housing in your neighborhood.

  6. Website Development: Creating a user-friendly and informative website to present the project findings. The website uses HTML, CSS, and Bootstrap to ensure effective navigation and visualization of the gathered data.