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  1. Correctness:

    • CombineTwoTables.sql: Correctly uses LEFT JOIN to include all persons even if they don't have an address.
    • CustomersWithStrictlyIncreasingPurchases.sql: The logic appears correct for finding customers with strictly increasing purchases year over year.
    • GamePlayAnalysisII.sql: Correctly finds the first login device for each player.
    • GamePlayAnalysisIII.sql: Correctly calculates running total of games played.
    • ShortestDistanceInAPlane.sql: Correctly calculates the shortest distance between any two points.
  2. Time Complexity:

    • CombineTwoTables.sql: O(n) for the join operation.
    • CustomersWithStrictlyIncreasingPurchases.sql: O(n^2) due to the self-join.
    • GamePlayAnalysisII.sql: O(n log n) for the GROUP BY and subquery.
    • GamePlayAnalysisIII.sql: O(n log n) for the window function.
    • ShortestDistanceInAPlane.sql: O(n^2) due to the Cartesian product.
  3. Space Complexity:

    • All solutions have reasonable space complexity proportional to their input sizes.
  4. Code Quality:

    • Overall good structure and readability.
    • Consistent formatting and use of aliases.
    • Could improve with comments explaining complex logic (especially in CustomersWithStrictlyIncreasingPurchases.sql).
    • The HAVING clause in CustomersWithStrictlyIncreasingPurchases.sql could be more clearly explained.
  5. Efficiency:

    • CustomersWithStrictlyIncreasingPurchases.sql could potentially be optimized with a different approach to avoid the self-join.
    • ShortestDistanceInAPlane.sql could use a more efficient algorithm than brute-force comparison of all pairs.

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