The following repository holds portions of code used for a report determining if there is a statistically significant correlation between parking area and the quality of life in global cities. The main statistical analysis can be found on Analysis.ipynb.
Scraping code was modified to exclude API keys and other private information when necessary. Code shown here does not represent the entirety of the operations done on the data, as much was simply used to manually clean and format data. The full report details the extent of the data cleaning, but the final data used can all be found on Cities_QOL.csv
If you have any questions, or would like to read the full report, please contact me at the email found on my personal website at http://juaneslamilla.github.io.
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├── Cities_QOL.csv # Complete data of QOL indices + parking areas by city
├── Analysis.ipynb # Statistical analysis of data notebook
├── OSM_scraper.py # Scraper used to get parking data
├── contributor_scraper.py # Scraper used to get OSM contributor data
├── LICENSE
└── README.md