Hi! This is the repository for the Ithaca Housing project in the Cornell Data Journal (Fall 2023 and Spring 2024 Semesters).
This project aims to explore the housing prices in Ithaca, or potentially beyond. We will analyze housing prices over space and time, evaluating key factors (e.g., transportation, access to shops, parks), and potentially building a multivariable regression model. From this, we can evaluate where or which options are the best. Specifically, we will consider the comparison between on or off-campus options, especially assessing whether on-campus housing prices are fair. Tools we are planning to use include ArcGIS and Python (via pandas/geopandas).
Group members (SP24):
- Team Leads: Winston Ni, Steven Zhou
- Members: Abigale Watson, Athena Deng, Jason Stein, Milo Schlittgen-Li, Omowunmi Akingbola, Yixuan Zhou
Group members (FA23):
- Team Leads: Steven Zhou, Tim Holt
- Members: Danielle Smith, Winston Ni, Ciara Malamug, Omowunmi Akingbola, Abigale Watson