I need to identify the main categorical columns in this dataset and find their most common values with frequencies. From the dataset card, I can see the main categorical columns are: - `Question` (~16 distinct values) - `Response` (~64 distinct values) - Various demographic columns (Gender, Age, Income, Education, Employment, Race, Region, Occupation) Let me start by querying the most common values for the key categorical columns in a single efficient query. ```json { "action": "tool_call", "reasoning": "I'll query the raw table to get the most common values and their frequencies for the main categorical columns. I'll use multiple CTEs to get top values for Question, Response, and key demographic dimensions in one query.", "tool": "query_sql", "args": { "sql": "WITH question_counts AS (SELECT Question, COUNT(*) as freq FROM raw.polling_on_ai_usage_jul_2026 WHERE Question IS NOT NULL GROUP BY Question ORDER BY freq DESC LIMIT 10), response_counts AS (SELECT Response, COUNT(*) as freq FROM raw.polling_on_ai_usage_jul_2026 WHERE Response IS NOT NULL GROUP BY Response ORDER BY freq DESC LIMIT 10), region_counts AS (SELECT 'Region: Northeast' as col, \"Region: Northeast\" as value, COUNT(*) as freq FROM raw.polling_on_ai_usage_jul_2026 WHERE \"Region: Northeast\" IS NOT NULL GROUP BY \"Region: Northeast\" UNION ALL SELECT 'Region: Midwest', \"Region: Midwest\", COUNT(*) FROM raw.polling_on_ai_usage_jul_2026 WHERE \"Region: Midwest\" IS NOT NULL GROUP BY \"Region: Midwest\" UNION ALL SELECT 'Region: South', \"Region: South\", COUNT(*) FROM raw.polling_on_ai_usage_jul_2026 WHERE \"Region: South\" IS NOT NULL GROUP BY \"Region: South\" UNION ALL SELECT 'Region: West', \"Region: West\", COUNT(*) FROM raw.polling_on_ai_usage_jul_2026 WHERE \"Region: West\" IS NOT NULL GROUP BY \"Region: West\") SELECT 'Question' as category, Question as value, freq, ROUND(100.0 * freq / SUM(freq) OVER (), 2) as pct FROM question_counts UNION ALL SELECT 'Response', Response, freq, ROUND(100.0 * freq / SUM(freq) OVER (), 2) FROM response_counts ORDER BY category, freq DESC", "purpose": "Get the most common values and frequencies for Question and Response columns", "source": "raw" } } ```