Completed Pandas5

[sangeeths29]

No description provided.

[super30admin]

The student's solution demonstrates a good understanding of pandas operations and solves both problems correctly. Here's a detailed evaluation:

1. Correctness:

• Problem 1 (Department Highest Salary): The solution correctly joins the tables, calculates max salary per department, and filters employees with that salary. It handles the renaming of columns appropriately.
• Problem 2 (Rank Scores): The solution correctly applies dense ranking and sorts the results as required.

2. Time Complexity:

• Problem 1: O(n) for merge, O(n) for groupby transform, and O(n) for filtering - overall O(n) which is efficient.
• Problem 2: O(n log n) for ranking and sorting - this is optimal for this problem.

3. Space Complexity:

• Both solutions create new DataFrames but don't use excessive additional space. The space complexity is O(n) which is expected.

4. Code Quality:

• The code is clean, well-structured, and uses appropriate pandas methods.
• Variable names are clear and descriptive.
• Both solutions follow a logical flow.
• One minor improvement could be adding docstrings to explain the functions.

5. Efficiency:

• The solutions are already quite efficient.
• For Problem 1, the student could consider using merge() with suffixes parameter to make column renaming more explicit.
• For Problem 2, the student could add .astype(int) to the rank column if integer ranks are expected (though the problem doesn't specify this).

Potential edge cases to consider:

• Empty input DataFrames
• Ties in salaries (Problem 1 handles this correctly by keeping all max salaries)
• Null values in the data