S&P 500 Valuation Visualization

This project visualizes the relationship between some of the S&P 500's fundamental valuation metrics like P/E ratio, equity risk premium, etc. and subsequent 10-year real returns, based on Shiller data dating from 1871 to 2023, using a D3-based interactive scatter plot.

How to Run

1. Ensure you have Python installed on your system.

2. Start a simple HTTP server to serve the files locally. Open a terminal in the project directory and run the following command:

   python -m http.server

3. Open your web browser and navigate to:

   http://localhost:8000
   

4. The visualization will load, using the data provided in data.csv.

Notes

• Ensure the data.csv file is present in the same directory as the HTML file.
• Modify the data.csv file to update the visualization with your own data.

Requirements

• Python 3.x
• Web browser supporting D3.js (e.g., Chrome, Firefox, Edge)

Troubleshooting

• If the visualization does not load, ensure the HTTP server is running and the browser URL matches http://localhost:8000.
• Check the browser console for any errors.