I need to identify the most important metric and category in this Titanic dataset, then show how they relate. From the overview, this is passenger manifest data focused on survival outcomes. Let me think about what would be most important: - **Most important metric**: Survival (the core outcome of interest) - **Most important category**: This could be passenger class (Pclass), sex, or age group - all known to be critical survival factors Let me first examine the gold tables to see what pre-aggregated breakdowns exist, then determine which category shows the most meaningful variation. {"action": "tool_call", "reasoning": "Check what gold tables exist to see which category breakdowns are pre-computed, which will indicate what the dataset considers important dimensions", "tool": "get_gold_tables", "args": {}}