This repository contains our data visualization project for the COM-480 course. Our goal is to present meaningful insights into real-estate data through interactive and engaging visualizations, leveraging modern web technologies and best practices.
Check our website!
By employing data visualization and interactive techniques, we aim to help users easily explore real-estate data, uncover patterns, and make data-driven decisions. Through our platform, users can:
- Visualize property distributions on maps
- Explore pricing trends over various neighborhoods
- Filter properties based on user-selected criteria
- Predict potential property prices (future extension)
| Student | SCIPER |
|---|---|
| Élise Boyer | 326911 |
| Gauthier Nielly | 346271 |
| Charles Girardot | 316073 |
GitHub Usernames:
We have three milestones for this project, each contributing to our overall grade:
-
Milestone 1 (21st March, 5pm) – 10%
The VisualEstate__M1.pdf document contains our initial proposal and dataset analysis. EDA can be found inEDA/folder for each city. -
Milestone 2 (18th April, 5pm) – 10%
The VisualEstate__M2.pdf document includes updates preliminary visualizations, and more advanced ideas. -
Milestone 3 (30th May, 5pm) – 80%
This represents our final submission, complete with all interactive dashboards, refined analyses, and a comprehensive report.