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This approach involves using SQL joins between the 'Trips' and 'Users' tables to filter out trips involving banned users. Then, group the results by date and count the total and cancelled trips to compute the cancellation rate for each day.
Time Complexity: Not applicable
Space Complexity: Not applicable
1// JavaScript code is not applicable for database queries.JavaScript is not typically used for direct database querying tasks like this without additional frameworks or server-side technologies.
This approach involves extracting trip data and user data, performing filtering operations in the application logic to compute stats, and then using aggregation to calculate the cancellation rate for each day.
Time Complexity: Not applicable
Space Complexity: Not applicable
1// C code is not applicable for database queries.C does not natively support high-level database operations, making it unsuitable for this approach unless supplemented by an SQL library.