I need to analyze the dataset to identify the most important numeric metric and show its extremes. Let me examine the data structure and values more carefully. From the evidence so far, I can see that: 1. The dataset contains polling responses about AI usage 2. All the demographic/category columns (Gender, Age, Income, Education, etc.) contain percentage values stored as VARCHAR 3. The "Overall" column appears to be the primary metric showing overall response percentages Let me query to understand the data better and find the full range of values: ```json { "action": "tool_call", "reasoning": "I need to see the complete distribution of the Overall metric across all questions and responses to understand the full range and identify the most meaningful extremes. The previous results only showed top 10 and min/max, but I should see more context about what these percentages represent.", "tool": "query_sql", "args": { "sql": "SELECT Question, Response, Overall, CAST(REPLACE(Overall, '%', '') AS DECIMAL(5,2)) as overall_pct FROM raw.polling_on_ai_usage_jul_2026 ORDER BY overall_pct DESC LIMIT 20", "purpose": "Get the top 20 highest Overall percentage values with their question and response context to understand what the metric represents" } } ```