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What you can run

• column_skewness — Sample skewness of a numeric column
• correlation_pair — Pearson correlation between two numeric columns, with the number of complete (non-null) pairs used.
• filtered_count — Count rows where a column satisfies a comparison (==, !=, >, >=, <, <=), with the matched percentage.
• group_aggregate — Aggregate a numeric column by a grouping column (mean/sum/min/max/median), sorted by the result. With no value column it counts rows per group.
• grouped_linear_regression — Computes linear regression coefficients (slope and intercept) for each group in a grouped DataFrame.
• top_n_by — Return the top N rows ranked by a numeric column (descending by default).
• value_distribution — Frequency distribution of a column: each distinct value with its count and percentage of rows.

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