📊 US Census Analysis Dashboard

The Census Analysis Dashboard is an interactive web application built with Streamlit, designed to provide a comprehensive analysis of US Census data for a selected ZIP code. This tool fetches data from the US Census API and processes it using Python to present the latest available demographic information.

👉 Try it out at https://uscensus.streamlit.app/

🌟 Features

• 🔍 Interactive ZIP code or Census Tract search to fetch specific census data.
• 📊 Visual representations of demographic data such as population age distribution, race distribution, and housing occupancy type through various Plotly chart visualizations.
• 🎨 Customizable color themes for personalized dashboard experience.
• 💾 Open-source codebase for community-driven enhancements.

🛠️ Install Locally

To set up the Census Analysis Dashboard locally, you'll need Python installed on your system. Then, follow these steps:

1. Clone the repository:

   git clone https://github.com/communitydreams/census-analysis.git

2. Navigate to the project directory:

   cd /path/to/census-analysis

3. Install the requirements:

   pip install -r src/requirements.txt

Running the Dashboard

To run the application, use the following command:

streamlit run src/streamlit_app.py

The dashboard will be served locally and can be accessed via a web browser.

🤝 Contribution

Got ideas? Want to make a difference? 🌟 Fork it, tweak it, push it. Transform this project into something even more awesome! Check out the dev branch for some dev drafts.

🐛 Spot a bug? Have a feature in mind? Open an issue here!

License

This project is open-source and available under the GNU General Public License.

Acknowledgements

This project is developed by Mishahal Palakuniyil and is maintained under the auspices of the Community Dreams Foundation Non-Profit. It is an open-source initiative aimed at democratizing data analysis and making census data more accessible and understandable to the public. This project is made possible by the support of the Community Dreams Foundation Non-Profit and contributors like you. Thank you!