I need to check for duplicate and near-duplicate rows in the Iris dataset. Let me start by examining the structure and then checking for exact duplicates. ```json { "action": "tool_call", "reasoning": "First, I'll check for exact duplicate rows by grouping on all data columns (excluding metadata columns like _ingestion_timestamp, _batch_id, etc.) and finding groups with count > 1. This will identify any rows that are completely identical in their actual data values.", "tool": "query_sql", "args": { "sql": "SELECT Id, SepalLengthCm, SepalWidthCm, PetalLengthCm, PetalWidthCm, Species, COUNT(*) as duplicate_count FROM raw.Iris GROUP BY Id, SepalLengthCm, SepalWidthCm, PetalLengthCm, PetalWidthCm, Species HAVING COUNT(*) > 1 ORDER BY duplicate_count DESC", "purpose": "Find exact duplicate rows based on all data columns" } } ```