Exploratory Data Analysis

 As the part of my Data Science course I was involved with the Exploratory Data Analysis of the Chicago Police Department Database provided by the Invisible Institute. We sought out to answer the questions like

Whether being part of a particular race gives you any bias when it comes to different facets of a case like, monetary compensation, allegations sustained, common misconducts, etc.

What is the relationship between how the race of the individuals involved affects the verdict of the case?

How the race of the investigating officer may impact the turnout of the case, whether allegations are more likely to be sustained if the perpetrator is of a particular racial identity?

This can also be extended to areas of segregated localities to analyse whether over policing occurs. Is there a correlation between the officers’ salary and the race?

You can get a deeper look at it on the GitHub repository.