I need to check for duplicate rows across the dataset. Let me start by examining the main table for exact duplicates. ```json { "action": "tool_call", "reasoning": "I'll check for exact duplicate rows in the cleandata table by grouping on all meaningful columns (excluding metadata columns like _unnamed_0, _ingestion_timestamp, _batch_id, _source_file, _source_system which are row identifiers or ingestion metadata). If any combination of the boxing match data appears more than once, those are duplicates.", "tool": "query_sql", "args": { "sql": "SELECT f_boxer, s_boxer, f_boxer_result, f_boxer_stance, f_boxer_age, f_boxer_height, f_boxer_reach, f_boxer_won, f_boxer_lost, f_boxer_drawn, f_boxer_KOs, f_boxer_ranking, s_boxer_ranking, s_boxer_age, s_boxer_stance, s_boxer_reach, s_boxer_height, s_boxer_won, s_boxer_lost, s_boxer_drawn, s_boxer_KOs, rounds, s_boxer_result, matchRounds, fightEnd, COUNT(*) as duplicate_count FROM raw.cleandata GROUP BY f_boxer, s_boxer, f_boxer_result, f_boxer_stance, f_boxer_age, f_boxer_height, f_boxer_reach, f_boxer_won, f_boxer_lost, f_boxer_drawn, f_boxer_KOs, f_boxer_ranking, s_boxer_ranking, s_boxer_age, s_boxer_stance, s_boxer_reach, s_boxer_height, s_boxer_won, s_boxer_lost, s_boxer_drawn, s_boxer_KOs, rounds, s_boxer_result, matchRounds, fightEnd HAVING COUNT(*) > 1 ORDER BY duplicate_count DESC", "purpose": "Find exact duplicate rows by grouping on all meaningful boxing match columns and identifying groups with count > 1" } } ```