I need to identify the categorical columns and count their distinct values. From the dataset card, the CLASSIFIERS section lists the categorical columns: - decision (~11 distinct) - result (~3 distinct) - stance_A (~3 distinct) - stance_B (~3 distinct) However, I should compute the exact distinct counts rather than rely on the approximate values shown. I'll write a single SQL query to get the precise distinct count for all categorical columns. ```json { "action": "tool_call", "reasoning": "The card identifies 4 categorical columns (decision, result, stance_A, stance_B) with approximate distinct counts. I need to compute the exact distinct values for each in one query rather than querying them individually.", "tool": "query_sql", "args": { "sql": "SELECT COUNT(DISTINCT decision) AS decision_distinct, COUNT(DISTINCT result) AS result_distinct, COUNT(DISTINCT stance_A) AS stance_A_distinct, COUNT(DISTINCT stance_B) AS stance_B_distinct FROM raw.boxing_matches", "purpose": "Count exact distinct values for all categorical columns in the dataset", "source": "raw" } } ```