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 tables and their columns. ```json { "action": "tool_call", "reasoning": "I need to understand the dataset structure to identify the main categorical columns. The previous queries returned 0 rows, suggesting they may have been looking at specific tables. I'll query the column metadata to see all categorical columns across the dataset.", "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 with reasonable cardinality (not too many distinct values) to analyze their most common values" } } ```