I need to identify the categorical columns and count their distinct values. Let me start by examining the dataset structure. From the dataset card, I can see the categorical columns (classifiers and text fields): - `raw.fighters`: name, stance, country - `raw.popular_matches`: opponent_1, opponent_2, place Let me query the distinct counts for all these categorical columns in one efficient query. ```json { "action": "tool_call", "reasoning": "I'll write a single SQL query to count distinct values for all categorical columns across both tables. This is more efficient than querying each column separately.", "tool": "query_sql", "args": { "sql": "SELECT 'fighters.name' as column_name, COUNT(DISTINCT name) as distinct_count FROM raw.fighters UNION ALL SELECT 'fighters.stance', COUNT(DISTINCT stance) FROM raw.fighters UNION ALL SELECT 'fighters.country', COUNT(DISTINCT country) FROM raw.fighters UNION ALL SELECT 'popular_matches.opponent_1', COUNT(DISTINCT opponent_1) FROM raw.popular_matches UNION ALL SELECT 'popular_matches.opponent_2', COUNT(DISTINCT opponent_2) FROM raw.popular_matches UNION ALL SELECT 'popular_matches.place', COUNT(DISTINCT place) FROM raw.popular_matches ORDER BY distinct_count DESC", "purpose": "Count distinct values for all categorical columns in the dataset", "source": "raw" } } ```