Using an Example Data python to evaluate home Prices In Cairo

I have created a pandas DataFrame for home prices in Cairo, Egypt. The DataFrame includes the following columns: Home ID, Location, Number of Bedrooms, Number of Bathrooms, Square Footage, and Price. a suggestion for creating a pandas DataFrame for home prices in Cairo, Egypt. Here's a proposal: Home ID: A unique identifier for each home. This could be a simple integer that increments for each new home. Location (District): The district in Cairo where the home is located. This could be a string value like "Zamalek", "Maadi", "Heliopolis", etc. Number of Bedrooms: The number of bedrooms in the home. This could be an integer value. Number of Bathrooms: The number of bathrooms in the home. This could also be an integer value. Square Footage: The size of the home in square feet. This could be a float value. Price: The price of the home in Egyptian pounds. This could be a float value. Here's a sample of how the data might look: Home ID Location Bedrooms Bathrooms Square Footage Price 1 Zamalek 3 2 1500.0 2500000.0 2 Maadi 2 1 1000.0 1500000.0 3 Heliopolis 4 3 2000.0 3500000.0 Please note that the actual data would need to be gathered from a real estate source or database. The values I've used here are just for illustrative purposes. Once the data is gathered, it can be analyzed to answer questions like: What is the average price of homes in each district? What is the average size of homes in each district? How does the number of bedrooms/bathrooms affect the price of a home?