I need to identify the main categorical columns in this boxing dataset and find their most common values with frequencies. Let me start by examining the column metadata to understand what categorical columns exist. ```json { "action": "tool_call", "reasoning": "I need to identify the main categorical columns across the tables. I'll inspect the largest table (raw.cleandata with 127 rows) to see what categorical columns it contains, then determine which are the most important ones to analyze.", "tool": "inspect_columns", "args": { "table": "cleandata" } } ```