I need to identify the main categorical columns and find their most common values with frequencies. From the evidence, I can see that step-4 gave me a comprehensive list of columns with their types and semantic roles. Let me analyze the categorical columns and get their value distributions. From step-4, I can see many categorical columns. Steps 5-6 already showed distributions for `batches.tenant_id` and `batches.status`. Let me get distributions for other key categorical columns across the main tables. ```json { "action": "tool_call", "reasoning": "I have distributions for batches.tenant_id and batches.status. Now I need to get value distributions for other important categorical columns. I'll query the most common values for key categorical columns from the main tables like analysis_runs, datasets, and other high-row-count tables.", "tool": "query_sql", "args": { "sql": "SELECT 'analysis_runs.code_version' as column_name, code_version as value, COUNT(*) as frequency FROM raw.analysis_runs GROUP BY code_version ORDER BY frequency DESC LIMIT 10", "purpose": "Get top 10 most common values for analysis_runs.code_version" } } ```