I need to identify the main categorical columns and find their most common values with frequencies. Let me start by examining the dataset structure to determine which columns are categorical. ```json { "action": "tool_call", "reasoning": "The dataset card shows several classifier columns across tables. I'll query the column metadata to identify the main categorical columns and their characteristics, focusing on columns with semantic_role indicating categorical data.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type, semantic_role, rough_kind, distinct_count, approx_distinct_count FROM analytics.column_overview WHERE semantic_role IN ('classifier', 'category', 'label') OR rough_kind = 'categorical' ORDER BY table_name, distinct_count DESC", "purpose": "Identify main categorical columns across all tables with their distinct value counts" } } ```