ekohrt / chicago-police-misconduct-data-science

Analyzing misconduct complaints filed by police officers, using data from the Chicago Police Department.

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Analyzing Internal Compaints in the Chicaco Police Departnemt

We analyze misconduct complaints filed by police officers, using open-source data provided by the Invisible Institute.

CPDP: https://cpdp.co/ SQL Queries, Data visualization tools (Obervable, D3.js), Machine Learning (scikit-learn)

In the database, most records are for misconduct allegations filed by civilians against police officers. But there is also a significant number of anonymous complaints filed internally by officers against other officers. We look at these internal complaints to address several questions:

  • Within a unit, does the rate of internal complaints indicate accountability?
  • Do internal complaints have a greater impact than civilian-filed complaints on individual officers?
  • Are internal complaints on an officer predictive of future civilian complaints?

Interactive visualization #1: https://observablehq.com/d/664d92cd192aa9f1
Interactive visualization #2: https://observablehq.com/d/691e08eae899d1e5

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Analyzing misconduct complaints filed by police officers, using data from the Chicago Police Department.


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