I need to investigate the temporal dimensions mentioned in the dataset card and analyze them for spikes, dips, or breaks. The card mentions temporal axes in `raw.boxing_klitschko` with `f_boxer_age` and `s_boxer_age` columns. Let me first understand what temporal data is available across the dataset. ```json { "action": "tool_call", "reasoning": "The card mentions temporal axes in boxing_klitschko (f_boxer_age and s_boxer_age). I need to explore what temporal columns exist across all tables to understand the time dimensions available. I'll query the column metadata to find date/time columns.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type, semantic_role FROM analytics.column_overview WHERE semantic_role IN ('temporal', 'date', 'datetime', 'timestamp') OR column_name LIKE '%date%' OR column_name LIKE '%time%' OR column_name LIKE '%year%' OR column_name LIKE '%age%' ORDER BY table_name, column_name", "purpose": "Find all temporal/date columns across the dataset to identify time dimensions" } } ```