I need to identify the main categorical columns and find their most common values with frequencies. From the evidence, I can see many categorical columns across different tables. Let me focus on the most significant ones based on the dataset context. Looking at the evidence, I can see several important categorical columns. Let me query the most common values for key categorical columns across the main tables. ```json { "action": "tool_call", "reasoning": "I'll query the most common values for key categorical columns. Starting with batches.tenant_id, batches.dataset_id, analysis_runs.code_version, analysis_runs.intent, and datasets.tenant_id to understand the distribution of values in these important categorical fields.", "tool": "query_sql", "args": { "sql": "SELECT 'batches.tenant_id' as column_name, tenant_id as value, COUNT(*) as frequency FROM raw.batches GROUP BY tenant_id ORDER BY frequency DESC LIMIT 10", "purpose": "Find most common values for batches.tenant_id" } } ```