I need to check for duplicate and near-duplicate rows across the tables in this dataset. Let me start by examining the main tables for exact duplicates and then look for near-duplicates. ```json { "action": "tool_call", "reasoning": "First, I'll check for exact duplicate rows in the largest table (sales_pipeline with 8,800 rows) by comparing total row count against distinct row combinations. I'll also check if the opportunity_id (which appears to be a primary key) has duplicates.", "tool": "query_sql", "args": { "sql": "SELECT COUNT(*) as total_rows, COUNT(DISTINCT opportunity_id) as distinct_opportunity_ids, COUNT(*) - COUNT(DISTINCT opportunity_id) as duplicate_opportunity_ids FROM raw.sales_pipeline", "purpose": "Check for duplicate opportunity_ids in sales_pipeline table" } } ```