🕵️‍♂️ Police-Involved Crime Analysis (Washington Post Dataset)

This project is part of the 100 Days of Code: The Complete Python Pro Bootcamp by Dr. Angela Yu. The goal of this project is to explore and analyze real-world data from The Washington Post related to police-involved killings in the United States.

📊 Objective

Use Python to:

Clean and preprocess the dataset

Perform statistical analysis on police-involved deaths

Visualize racial and demographic disparities

Draw insights from patterns across states, cities, and years

📁 Dataset

The dataset is publicly available via The Washington Post and includes details such as:

Victim name, age, gender, race

Armed status

Location (city, state)

Manner of death (shot, Taser, etc.)

Signs of mental illness

Date of incident

🛠️ Technologies Used

Python 🐍

Pandas 📊

NumPy 🔢

Matplotlib & Seaborn 📈

Jupyter Notebook 📒