DropColumns / Manipulation Layer

Remove specified columns from the DataFrame. Similar to pandas' drop() or R's select(-columns).

Common applications:

• Feature selection (removing irrelevant variables)
• Data cleaning (eliminating redundant columns)
• Dimensionality reduction (focusing on key attributes)
• Privacy compliance (removing sensitive information)
• Storage optimization (eliminating unused data)
• Analysis preparation (removing non-analytical fields)
• Model input preparation (dropping non-predictive features)
• Data standardization (removing temporary columns)

Example: Remove intermediate calculation columns or temporary fields after they serve their purpose.