filtered_df = data_df.copy()

for filter_category, filter_values in row_filters.items():

    filter_mapping = mapping_df[
        mapping_df["data_category"]
        .apply(normalize_for_matching)
        == normalize_for_matching(filter_category)
    ]

    filter_col = filter_mapping["source_column_name"].iloc[0]

    filtered_df = filtered_df[
        filtered_df[filter_col]
        .apply(normalize_for_matching)
        .isin(values)
    ]