You are working with a numerical dataset that has missing values in multiple columns. You must clean the missing data using a method that preserves the dimensionality of the feature set. The goal is to perform an analysis on the complete dataset, including all values.

Proposed Solution: Remove any column that contains at least one missing value.

Does this solution achieve the goal?