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  1. Correctness:

    • For Problem 1 (Report Contiguous Dates), the solution correctly identifies contiguous date ranges for failed and succeeded periods using the difference between ranks technique.
    • For Problem 2 (Students Report By Geography), both approaches correctly pivot the data, though the second approach with session variables is less conventional and harder to maintain.
    • For Problem 3 (Avg Salary Departments Vs Company), the solution correctly compares department averages with company averages.
    • For Problem 4 (Game Play Analysis I), both approaches correctly find the first login date for each player.
  2. Time Complexity:

    • All solutions use appropriate window functions (RANK, ROW_NUMBER) which typically run in O(n log n) time due to sorting.
    • The GROUP BY operations are efficient for the given problems.
  3. Space Complexity:

    • The CTEs create temporary tables in memory, but this is reasonable for these problems.
    • The session variables approach in Problem 2 uses additional memory for variables.
  4. Code Quality:

    • Good use of CTEs to break down complex queries.
    • Consistent formatting and clear comments explaining the approach.
    • The second approach in Problem 2 using session variables is less readable and maintainable.
    • Some column aliases could be more descriptive (e.g., 'rnk' could be 'rank').
  5. Efficiency:

    • All solutions are efficient for their respective problems.
    • For Problem 4, the MIN approach is simpler and likely more efficient than the RANK approach.
    • Consider adding indexes on date columns and join columns for better performance with large datasets.

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