I need to identify the main categorical columns and find their most common values with frequencies. From the evidence, I can see the categorical columns are: - `No` (champion names) - ~112 distinct values - `Champion` (appears to be a temporal field but likely contains champion info) - `End_reign` - ~96 distinct values - `Days` - ~17 distinct values - `Title_defenses` - ~9 distinct values - `Additional_recognition` - ~16 distinct values Let me query the most common values for these key categorical columns in a single efficient query: ```json { "action": "tool_call", "reasoning": "I'll write one SQL query to get the top values and their frequencies for all main categorical columns. This is more efficient than querying each column separately. I'll use UNION ALL to combine the results for each column.", "tool": "query_sql", "args": { "sql": "WITH champion_counts AS (SELECT 'Champion_Name' as column_name, No as value, COUNT(*) as frequency FROM raw.championsdataset GROUP BY No ORDER BY COUNT(*) DESC LIMIT 10), end_reign_counts AS (SELECT 'End_Reign' as column_name, End_reign as value, COUNT(*) as frequency FROM raw.championsdataset WHERE End_reign != '' AND End_reign != '–' GROUP BY End_reign ORDER BY COUNT(*) DESC LIMIT 10), days_counts AS (SELECT 'Days' as column_name, Days as value, COUNT(*) as frequency FROM raw.championsdataset WHERE Days != '' AND Days != '−' GROUP BY Days ORDER BY COUNT(*) DESC LIMIT 10), title_defenses_counts AS (SELECT 'Title_Defenses' as column_name, Title_defenses as value, COUNT(*) as frequency FROM raw.championsdataset WHERE Title_defenses != '' AND Title_defenses != '−' GROUP BY Title_defenses ORDER BY COUNT(*) DESC LIMIT 10), additional_recognition_counts AS (SELECT 'Additional_Recognition' as column_name, Additional_recognition as value, COUNT(*) as frequency FROM raw.championsdataset WHERE Additional_recognition != '' AND Additional_recognition != '[' GROUP BY Additional_recognition ORDER BY COUNT(*) DESC LIMIT 10) SELECT * FROM champion_counts UNION ALL SELECT * FROM end_reign_counts UNION ALL SELECT * FROM days_counts UNION ALL SELECT * FROM title_defenses_counts UNION ALL SELECT * FROM additional_recognition_counts ORDER BY column_name, frequency DESC", "purpose": "Get the top 10 most common values and their frequencies for each main categorical column in the boxing champions dataset", "source": "raw" } } ```