I need to identify the main categorical columns and find their most common values with frequencies. From step-4, I can see many categorical columns across different tables. Let me focus on the most significant ones and get their value distributions. Let me query the most common values for key categorical columns across the main tables: ```json { "action": "tool_call", "reasoning": "I have the column metadata from step-4 showing categorical columns. Now I need to get the most common values and their frequencies for the main categorical columns. I'll query several key categorical columns from the main tables (batches, analysis_runs, datasets, etc.) to show their value distributions.", "tool": "query_sql", "args": { "sql": "SELECT 'batches.status' as column_name, status as value, COUNT(*) as frequency FROM raw.batches WHERE status IS NOT NULL GROUP BY status ORDER BY frequency DESC LIMIT 10", "purpose": "Get most common values for batches.status", "source": "raw" } } ```