Final project data624 Predict PH

This project compares housing price trends and population dynamics in Tennessee and Ohio, representing the Southeastern and Midwestern United States. It explores affordability and growth potential using predictive modeling (ARIMA), housing price indices (HPI), and county-level visualizations. The research includes: 1. 2D and 3D Choropleth Maps: Visualizations of housing price disparities by county. 2. HPI Trends: Comparative historical and forecasted housing price trends using ARIMA models. 3. Population Trends: Analysis of demographic shifts and population growth predictions. The findings provide valuable insights for young professionals, investors, and policymakers. This research also addresses affordability, growth potential, and housing market dynamics over time.

Fomba Kassoh, Mikhail Broomes, Souleymane Doumbia, & Christian Uriostegui

Group Project: EM, SM, MA Scenario 3: Environment and asthma in California

This is homework #9 for Data 624 at CUNY SPS, Fall 2024.