Algorithm 1. Algorithm (simplified for visualization) of the advanced equalization function.

Input: Dataset, TargetVariable, VariableList, MinThreshold

Output: EqualizedDataset

Begin    Initialize equalized dataset as empty    Calculate initial subpopulation sizes and proportions for TargetVariable    Set target size to the size of the smallest subpopulation    For each variable in VariableList do     Determine the impact score based on deviation from expected proportions    End For    Sort VariableList by descending impact scores    While subpopulation sizes differ from target size do     For each variable in VariableList do       Adjust subpopulation proportion to match target proportion       If subpopulation size < MinThreshold then        Protect subpopulation from further reduction       End If     End For     Recalculate subpopulation sizes and proportions    End While    Output the equalized dataset End