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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// C# code is not applicable for database queries.C# can access databases through libraries like ADO.NET, but the core query must be written in SQL or LINQ.
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// Java code is not applicable for database queries.Java would normally use JDBC or an ORM for such operations. Pure Java alone is not applicable here.