Ajit Koduri and Zane Olds looking at the Chicago Crime Data provided by the CPD CLEAR's system as seen on Kaggle. Powerpoints contain pictures arising from data analysis, .ipynb files are code we have made to look into the the criminal occurrences in Chicago with Python using Jupyter Notebooks.

Our app contains numerous ways to visualize the demographic breakdown of arrests reported to the FBI in the United States. It consists of a geographical breakdown of several crimes as well as interactive graphs relating specific crimes and demographic data such as state where the crime took place, sex of the offender, and race of the offender.

Building Safer Communities – Evaluating Cure Violence Program’s Impact in NYC

A repository for housing a community research project about marijuana arrests in Pittsburgh.

Small Flutter app for displaying data from an API

Discussion of Arrests Counts (NY) to Govenors Political Party

The purpose of this repository is to inform the New York Police Department (NYPD) and the general public about future arrest rates in New York City.

A Data science project showing the trend of crime in Queens NYC with Python Data Science libraries. Made with Python, HTML, and GitHub MD.

Exploration of USArrests data using unsupervised machine learning

Crime data from the UCR and other sources.