I need to identify the main categorical columns in this dataset and find their most common values with frequencies. Let me start by getting an overview of the columns to identify which are categorical. ```json { "action": "tool_call", "reasoning": "I need to identify the main categorical columns in the dataset. The previous queries returned 0 rows, suggesting they may have been looking for something specific that doesn't exist. I'll query the column metadata to find categorical columns (VARCHAR/TEXT types with reasonable distinct counts that suggest categories rather than free text).", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type, semantic_role, rough_kind, distinct_count, null_count FROM analytics.column_overview WHERE rough_kind IN ('categorical', 'text') AND distinct_count > 0 AND distinct_count < 1000 ORDER BY distinct_count DESC LIMIT 50", "purpose": "Identify main categorical columns by finding text/categorical columns with reasonable distinct counts (not too many to be free text, not too few to be boolean)" } } ```