- Team Members:
- Luming Xu, lumx@design.upenn.edu
- Sijia Zhang, sjzhang@design.upenn.edu
- Aki Di Sandro, akidi@design.upenn.edu
- Ray Ma, marun@design.upenn.edu
- Yixuan Zhou, zhouyix@design.upenn.edu
- Instructors: Michael Fichman & Matthew Harris
Description | Schedule | Guidelines
This repository documents the data analysis part of the project. Our outcomes will be 3 models:
- A linear model highlights the relationship between housing markets and highway;
- A regression discontinuity model to analyze the quantitative difference in the disamenity effect of the highway between the southern and northern halves of Chinatown;
- A predictive model to estimate the housing market after the completion of Phase 1 of the Chinatown Stitch project.
| W# | Date | Content |
|---|---|---|
| 1 | Jan 21 | Repository construction |
| 2 | Jan 28 | Meet with the client; acquire materials |
| 3 | Feb 4 | Data Wrangling: determine the study area and research subjects |
| 4 | Feb 11 | Data Wrangling: finish wrangling the relevant factors and connect to the property data |
| 5 | Feb 18 | Exploratory Analysis: finish basic geography, highway effect analysis, and case studies of Philly |
| 6 | Feb 25 | 1st Presentation |
| 7 | Mar 4 | Exploratory Analysis: case studies of amenities, feature engineering, and r markdown |
| - | Mar 11 | -(SPRING BREAK)- |
| 8 | Mar 18 | Modeling: update property data, feature engineering, case studies of caps |
| 9 | Mar 25 | Modeling: feature engineering, OLS model, r markdown consolidation |
| 10 | Apr 1 | 2nd Presentation |
| 11 | Apr 8 | |
| 12 | Apr 15 | |
| 13 | Apr 22 | |
| 14 | Apr 29 | Final Presentation Rehearsal |
| 15 | May 6 | Final Markdown |
- 1.28-2.18: 1st Presentation
- Data Wrangling: Wrangle basic predictors of value at the property level, including spatial fixed effects.
- Exploratory Analysis (Most Critical): Use data to tell a story about the relationship between properties and urban highways - city-wide, and in the context of your neighborhood. You will also want to tell a rich story about your study area and about the context of the Stitch.
- 3.4-4.1: 2nd Presentation
- Modeling: Build three models for this project: a linear model, a regression discontinuity model, a predictive model.
- 4.8-4.29: Final Presentation
- App Development