This project analyzes the daily volume of violations created by the City of Chicago Red Light Program for each camera. The data reflects violations that occurred from July 2014 until December 2020. The dataset contains categorical, numeric and DateTime attributes, out of which the main attributes of interest are -
The raw dataset was first filtered to remove any missing/NaN values. The dataset was then manipulated and transformed using Pandas in order to create aggregations such as the number of violations grouped by Year, Day, and Month, as well as GeoJSON files used to create the visualizations.