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 across all tables. I'll query the column metadata to find columns with categorical semantic roles or low distinct counts that indicate categorical data.", "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 semantic_role IN ('categorical', 'identifier', 'label') OR (distinct_count > 0 AND distinct_count <= 100 AND rough_kind = 'text') ORDER BY distinct_count DESC, table_name, column_name LIMIT 50", "purpose": "Identify main categorical columns by semantic role or low distinct count", "source": "raw" } } ```