Using Kaggle Datasets to interpret trends in SF Affordable Housing development

https://docs.google.com/presentation/d/1qhZZeUC_hA3urT_EptUnk8nts9B-OFrI9a8JaLCcLp4/edit?usp=sharing

• SF based iniatives to increase affordable housing: https://www.kaggle.com/datasets/san-francisco/sf-affordable-housing-pipeline
• Housing for Rent scraped from Craigslist: https://www.kaggle.com/datasets/thedevastator/scraping-apartments-off-of-craigslist-in-san-fra

Fork my repository: data and src are necessary folders. Dependencies: pandas, matplotlib

Navigate to SRC file cd src

In Terminal python3 main.py

.
├── README.md
├── data
│   ├── affordable-housing-pipeline.csv
│   ├── affordable_housing.zip
│   ├── rents_craigslist.zip
│   └── rents_craigslist_clean.csv
└── src
    ├── affordable_units_by_neighborhood.png
    ├── affordable_units_stacked_bar_chart.png
    ├── main.py
    └── trend_affordable_units_line_chart.png

2 directories, 9 files

HtH Fall 2024 Build Program

Orange Tiger Team, Sydney Ly

Gevilee Mariane Verango