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Steps for treating missing values

Arrange the statements in the order of steps to be taken for dealing with missing data.

A. Evaluate & compare the performance of the treated/imputed dataset.
B. Convert all missing values to null values.
C. Appropriately delete or impute missing values.
D. Analyze the amount and type of missingness in the data.

This exercise is part of the course

Dealing with Missing Data in Python

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