2887. Fill Missing Data

Easy72.0% Acceptance

Use these hints if you're stuck. Try solving on your own first.

Hint 1

Consider using a build-in function in pandas library to fill the missing values of specified columns.

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Acceptance Rate72.0%

DifficultyEasy

Solve with full IDE support and test cases

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