I need to identify the main categorical columns and find their most common values with frequencies. From the evidence, I can see several key categorical dimensions. Let me query the most common values for the primary categorical columns. ```json { "action": "tool_call", "reasoning": "I'll query the most common values for the main categorical columns: winner (teams that won most), player_of_match (most awarded players), city (most common venues), toss_decision (bat vs field preference), and result_type (how matches ended). I'll get top 10 for each to show the distribution.", "tool": "query_sql", "args": { "sql": "WITH winner_counts AS (SELECT winner, COUNT(*) as match_count FROM raw.IPL_Matches_Data_2008_2026 GROUP BY winner ORDER BY match_count DESC LIMIT 10), player_counts AS (SELECT player_of_match, COUNT(*) as awards FROM raw.IPL_Matches_Data_2008_2026 GROUP BY player_of_match ORDER BY awards DESC LIMIT 10), city_counts AS (SELECT city, COUNT(*) as matches FROM raw.IPL_Matches_Data_2008_2026 GROUP BY city ORDER BY matches DESC LIMIT 10), toss_counts AS (SELECT toss_decision, COUNT(*) as times FROM raw.IPL_Matches_Data_2008_2026 GROUP BY toss_decision), result_counts AS (SELECT result_type, COUNT(*) as matches FROM raw.IPL_Matches_Data_2008_2026 GROUP BY result_type) SELECT 'Winner' as category, winner as value, match_count as frequency FROM winner_counts UNION ALL SELECT 'Player of Match', player_of_match, awards FROM player_counts UNION ALL SELECT 'City', city, matches FROM city_counts UNION ALL SELECT 'Toss Decision', toss_decision, times FROM toss_counts UNION ALL SELECT 'Result Type', result_type, matches FROM result_counts ORDER BY category, frequency DESC", "purpose": "Get the most common values and their frequencies for the main categorical columns: winner, player_of_match, city, toss_decision, and result_type" } } ```