Notebook Title 📘

US ELECTION, VOTING PARTICIPATION AND DISTRIBUTION

Key Features 📊

Import and visualization of U.S. election-related data Analysis of voter turnout by state Comparison of urban vs rural participation Bar charts, heatmaps, and distribution plots for better insight Mapping election participation data across the U.S.

Contents 📂

notebook.ipynb — Jupyter Notebook with complete code and visualizations

data/ — Directory of the election data (if not included, you may need to download relevant datasets from sources like the U.S. Census Bureau or FEC)

Requirements 🛠️

Install required Python packages:

pip install pandas matplotlib seaborn geopandas plotly

You may also need: geopandas and shapely for map plotting Jupyter Notebook / JupyterLab to run the notebook interactively

How to Use 🚀

a.) Clone the repository: git clone https://github.com/FisanUJI/us-election-voting-turnout.git

cd us-election-voting-turnout

b.) Start Jupyter Notebook:

jupyter notebook

Open notebook.ipynb and run all cells.

Use Cases 📌

This notebook is useful for:

• Political science or data journalism research.
• Understanding voter behavior by geography.
• Building dashboards or visual tools for civic engagement.

License 📎

This project is licensed under the MIT License. See LICENSE for more details.

Contributing 🤝

We welcome contributions! Feel free to fork this repo and submit a pull request.