Hello @VirajAgarwal1, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

Summary of Changes

This pull request, titled 'changes suggested by Nithish,' focuses on improving the data processing and visualization aspects of the Demo.py file. The primary goal is to enhance the efficiency and clarity of data handling, particularly in how airport and hotel data are processed and displayed on maps. The changes include optimizations in data structure conversions, handling missing data, and map layout adjustments to provide a better user experience.

Highlights

• Data Structure Optimization: The code now uses selected_airports_df["faa"].to_list() to convert the FAA airport codes into a list format, which is more efficient and readable than the previous iterative string concatenation method.
• Handling Missing Data: The code now filters out rows with missing FAA codes using airports_df.dropna(subset=["faa"]) to prevent errors during map plotting.
• Map Layout Improvements: The map layouts for both airport routes and hotel locations have been enhanced with better zoom levels, centering, and the removal of legends for cleaner presentation.
• Hotel Rating Display: The hotel map now displays star ratings based on average ratings, and the map is centered based on the average latitude and longitude of the hotels.
• City Selection: The default selected city for hotel display has been changed to London.

Changelog

• Demo.py
  • Replaced the iterative string concatenation for FAA codes with a more efficient to_list() conversion.
  • Added a filter to remove rows with missing FAA codes in the airport data.
  • Improved the airport route map layout by setting fitbounds="locations" and adjusting zoom and legend visibility.
  • Modified the hotel map to calculate and display star ratings based on average hotel ratings.
  • Implemented map centering based on the average latitude and longitude of the hotels.
  • Changed the default selected city for hotel display to London.
  • Removed redundant fig.update_layout call in create_hotel_map function.

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Code Review

The changes look good overall. The author has refactored some code for better readability and efficiency, and has added some map features. Here are some specific comments and suggestions.

Summary of Findings

• String conversion: In get_routes_for_airports, converting the list of FAA codes to a string directly might not be the most efficient or readable approach. Consider using a more structured method for building the SQL query.
• Error handling: The code lacks explicit error handling for database queries. It's important to add error handling to ensure the application behaves correctly when queries fail.

Merge Readiness

The pull request is almost ready for merging. Please address the comments to improve the code's robustness and readability. I am unable to directly approve this pull request, and you should have others review and approve this code before merging.