Group: Tuesday - 1 - 3 p.m - Group C
We are conducting an analysis on crime in Chicago.
Our goal is to understand the factors that determine various crime.
Our data comes from:
- https://data.cityofchicago.org/Public-Safety/Crimes-2001-to-present/ijzp-q8t2
- https://data.cityofchicago.org/Health-Human-Services/Census-Data-Selected-socioeconomic-indicators-in-C/kn9c-c2s2
- https://data.cityofchicago.org/Public-Safety/Police-Stations/z8bn-74gv
The data includes information about crimes,socio-economic factors that affect crime, and police station data.
- Canh Thanh Nguyen
- Jarred Reilly
- Soham Sarfare
- Sukhmani Arora
The main goal of this project is to perform analysis of the factors which influence the crime occurrence in Chicago. This is done by modelling and visualisation techniques. While we won't be finding any solutions to these problems Chicago, but we do hope to bring to light some of the key factors affecting the city's crime problem.
- data/ - Contains all data for the project
- headmapplots/ - Contains the output of the heatmap analysis
- plot/ - Contains data preprocessing scripts for filtering, merging, and sampling the raw data
- working/ - Contains the work in progress notebooks that were later combined
- DATASCIENCE PPT GROUP C 1-3PM.pptx - Our slides for the presentation
- Group Project - Chicago Crime Investigation.ipynb - Our final jupyter notebook containing our analysis
- heatmaps.py - A script for creating the heatmaps
- utilities.py - A script containing functions we've removed from the final notebook to keep it clean