I need to identify the most important numeric metric in this boxing champions dataset and show its extreme records. Looking at the evidence, I can see the columns are mostly VARCHAR (text), but several appear to contain numeric data that's stored as text: - **Days** - appears to be reign duration (a key performance metric for champions) - **Title_defenses** - number of successful defenses - **Recognition** and **Begin_reign** - appear to be numeric codes or dates The most important numeric metric for boxing champions would be either: 1. **Days** - how long they held the title (duration of reign) 2. **Title_defenses** - how many times they successfully defended Let me query both to see which contains actual numeric data and determine which is more meaningful: ```json { "action": "tool_call", "reasoning": "Need to examine the Days and Title_defenses columns to see which contains valid numeric data and identify the most important metric. Will cast them and find min/max values along with the champions who achieved them.", "tool": "query_sql", "args": { "sql": "SELECT Champion, Days, Title_defenses, Begin_reign, End_reign FROM raw.championsdataset WHERE Days NOT IN ('', '−', '–') AND Days IS NOT NULL ORDER BY CAST(REPLACE(REPLACE(Days, ',', ''), '+', '') AS INTEGER) DESC LIMIT 10", "purpose": "Find champions with longest reigns by examining Days column and checking data quality", "source": "raw" } } ```