This project is a web application that allows users to explore and analyze medical insurance charge data. The app allows users to view and compare charges for different procedures and providers, and to see how charges vary by location and other factors.
What to do:
- Clean and organize data sets containing information about medical insurance charges, such as claims data or billing records.
- Explore and visualize the data using various Python libraries, such as NumPy, pandas, or Matplotlib.
- Use machine learning algorithms to analyze the data and make predictions or identify patterns.
- Develop a web application or dashboard using tools like Flask or Plotly to display the results of the analysis or allow users to interact with the data.