I need to understand the structure of this dataset to identify natural segmentation approaches. Let me start by examining what the data represents and its key dimensions. ```json { "action": "tool_call", "reasoning": "The dataset card shows this is polling data about AI usage with 105 rows and 44 columns. The columns appear to be demographic breakdowns (gender, age, income, education, etc.) with percentage values. I need to understand the actual structure - what each row represents and how the Question/Response columns organize the data. This will reveal the natural segmentation dimensions.", "tool": "query_sql", "args": { "sql": "SELECT Question, Response, COUNT(*) as record_count FROM raw.polling_on_ai_usage_jul_2026 GROUP BY Question, Response ORDER BY Question, Response LIMIT 50", "purpose": "Understand the grain of the dataset - what each row represents and how questions and responses are organized", "source": "raw" } } ```