I need to investigate data quality issues systematically. Let me check for outliers, impossible values, inconsistent formats, and mixed units across the key columns. From the evidence so far, I can already see: - No null values in any column (step-0) - Medal values are consistently 1, 2, 3 (Bronze, Silver, Gold) - no outliers there - Years are all valid Olympic years (divisible by 4, step-5) - No whitespace issues in medalist names (step-12) Let me check for other potential issues: ```json { "action": "tool_call", "reasoning": "Check for temporal anomalies - the 1992 Olympics had 18 medals vs 12 for most years, and 2020/2024 had 15. Need to verify if event counts changed legitimately or if there are duplicate/erroneous records. Also check if medal_value aligns correctly with medal text.", "tool": "query_sql", "args": { "sql": "SELECT year, event, medal, COUNT(*) as record_count, COUNT(DISTINCT medalist) as unique_medalists, COUNT(DISTINCT country) as unique_countries FROM raw.olympic_table_tennis_medals_1988_2024 GROUP BY year, event, medal HAVING COUNT(*) > 1 ORDER BY record_count DESC, year, event", "purpose": "Identify duplicate medal awards (same year/event/medal with multiple records) which could indicate data quality issues" } } ```