This project aims to provide insights into police shootings data using Python. The project allows users to interactively explore various aspects of police shootings such as demographics, locations, and circumstances surrounding the incidents.
This tool leverages Python libraries such as Pandas and Pillow to analyze and visualize police shooting data. Users can retrieve information on demographics, locations, and other relevant details based on their preferences.
- Demographics: Users can explore statistics based on gender, age, and race.
- Temporal Analysis: Provides insights into shootings based on years and months.
- Location-based Analysis: Users can filter data by city or state.
- Weapon and Circumstances: Analysis on armed status and manner of death.
- Interactive Interface: Users can navigate through various options and get detailed information.
Ensure you have Python 3.x installed on your system.
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Clone this repository: git clone https://github.com/MoisesAdame/American-Police-Brutality-Data-Analysis.git
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Install the required packages: pip install pandas pillow
- Navigate to the project directory.
- Run the main script:
python main.py
- Follow the on-screen prompts to interact with the tool.
- Enjoy exploring insights into police shootings data!
- Victoria Rodríguez de León - A01656328
- Moisés Adame Aguilar - A01660927