Generate the README.md file as requested

readme_content = """

🗺️ I2Py Disaster Declarations and Population Visualizer

This application integrates FEMA disaster declaration data with U.S. Census population data to generate paired, timestamped CSV and visual outputs.

---

🚀 Features

✅ Data Integration

• Reads FEMA Disaster Declarations (FemaWebDisasterDeclarations.csv)
• Reads U.S. Census Data (DECENNIALCD1182020.P1-2025-06-08T162550.csv)
• Combines them into an integrated dataset, aligned by state.

✅ Data Visualization

• Produces bar + line charts visualizing population and disaster counts.
• Saves visuals in Sample Outputs/, named with a unique timestamp.

✅ Data Export

• Saves integrated summary data to a CSV file, using the same timestamp as the image.

✅ Consistent Naming Convention

• Paired outputs are named like:
  • Population_and_Disaster_Declarations_YYYYMMDD_HHMMSS.png
  • Population_and_Disaster_Declarations_YYYYMMDD_HHMMSS.csv

---

📦 File Structure

├── I2Py.py # Main script for data integration and visualization ├── DECENNIALCD1182020.P1-2025-06-08T162550.csv (My Sample data, you can get yours from https://data.census.gov/all?g=010XX00US$0400000 ) ├── FemaWebDisasterDeclarations.csv (My Sample data, you can get yours from https://www.fema.gov/openfema-data-page/fema-web-disaster-declarations-v1 ) ├── Sample Outputs/ │ ├── Population_and_Disaster_Declarations_YYYYMMDD_HHMMSS.png │ └── Population_and_Disaster_Declarations_YYYYMMDD_HHMMSS.csv └── README.md # This readme file

---

🛠️ Requirements

• Python 3.13 (or compatible Python 3.7+)
• Libraries:
  • pandas
  • matplotlib

Install dependencies via pip:

"""pip install pandas matplotlib"""

⚙️ How to Run
Run the script from the project directory:

bash
Copy
Edit
python I2Py.py
The script will:

Load the census and FEMA data

Integrate them by state

Print sample outputs to console

Generate and save:

A PNG image of the visualization

A CSV file summarizing the data

Both files will be saved in the Sample Outputs directory with a timestamp in the name.

💡 Notes
The script uses a timestamp to avoid overwriting previous outputs.

If no data is present for some states, they will be excluded from the visualization and CSV export.

📈 Future Enhancements? (TBD)
Support for additional data sources (e.g., hazard severity, economic impact).

Enhanced interactive visualizations.

Automated updates for new disaster data.

Happy data exploration! 🚀 *Generated with the Assistance of ChatGPT, edited for consistency, content and cohesion.