Scrape wta.org data of over 3,500 hiking trails in Washington, USA, and create linear regression model to predict trail rating.
- wta-scraping-notebook.ipynb - Notebook used to scrape data from WTA.org website
- wta-data_cleaning.ipynb - Notebook used to clean scraped data in preparation for modeling
- wta-modeling.ipynb - Notebook used for all modeling and analysis. Includes many plots.
- wtascripts/scrape_wta_hike_data.py - script that can be ran to download and save to drive WTA.org data
- wtascripts/wta_helpers.py - .py file containing functions to clean raw, scraped wta.org hiking data
- reports/proposal.pdf - Original proposal for project
- reports/summary.pdf - Final summary of project