This is a public summary for my MPhys project on 'Geographical profiling of crime' I did under supervision of Prof. Paul Palmer in 2015 - 2016. This public summary is targeted at general audience and presents step-by-step data exploration of the pre-processed Chicago crime data.

I suggest using Python virtualenv. To install all the necessary dependencies run pip install -r requirements.txt. Use jupyter notebook to run the Jupyter Notebook Adam_Golinski_Public_summary.ipynb.

This project is using data I have preprocessed by cleaning and formatting appropriate columns. You can download it from the links below. I am hosting the files on Dropbox and I will try to maintain it. Place them in the folder of the project.
Crime data (235MB)
Weather data (0.5MB)

Crime data was obtained in the form of a CSV file from the City of Chicago data portal.
Weather data can be obtained from the NOAA website.

Feel free to reach out to me concerning this project or anything else.