{
    "action": "tool_call",
    "reasoning": "The inspect_columns result shows that all measure columns (Overall, Gender:, Age:, Income:, Education:, Employment:, Race:, Region:, Occupation:) are VARCHAR containing percentage strings like '1.83%'. The only true numeric column is question_number (BIGINT, identifier, range 1..15). To answer the distribution question, I need to: (1) compute stats for question_number directly, and (2) convert the VARCHAR percentage columns to numeric by stripping '%' and casting. I'll write one comprehensive query that computes min, max, mean, median, and spread (stddev) for question_number and a representative sample of the percentage columns across different demographic dimensions.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT 'question_number' AS column_name, MIN(question_number) AS min_val, MAX(question_number) AS max_val, AVG(question_number) AS mean_val, MEDIAN(question_number) AS median_val, STDDEV(question_number) AS spread_stddev, 'BIGINT' AS original_type FROM raw.polling_on_ai_usage_jul_2026 UNION ALL SELECT 'Overall', MIN(CAST(REPLACE(Overall, '%', '') AS DECIMAL(10,2))), MAX(CAST(REPLACE(Overall, '%', '') AS DECIMAL(10,2))), AVG(CAST(REPLACE(Overall, '%', '') AS DECIMAL(10,2))), MEDIAN(CAST(REPLACE(Overall, '%', '') AS DECIMAL(10,2))), STDDEV(CAST(REPLACE(Overall, '%', '') AS DECIMAL(10,2))), 'VARCHAR' FROM raw.polling_on_ai_usage_jul_2026 UNION ALL SELECT 'Gender: Male', MIN(CAST(REPLACE(\"Gender: Male\", '%', '') AS DECIMAL(10,2))), MAX(CAST(REPLACE(\"Gender: Male\", '%', '') AS DECIMAL(10,2))), AVG(CAST(REPLACE(\"Gender: Male\", '%', '') AS DECIMAL(10,2))), MEDIAN(CAST(REPLACE(\"Gender: Male\", '%', '') AS DECIMAL(10,2))), STDDEV(CAST(REPLACE(\"Gender: Male\", '%', '') AS DECIMAL(10,2))), 'VARCHAR' FROM raw.polling_on_ai_usage_jul_2026 UNION ALL SELECT 'Age: 18–29', MIN(CAST(REPLACE(\"Age: 18–29\", '%', '') AS DECIMAL(10,2))), MAX(CAST(REPLACE(\"Age: 18–29\", '%', '') AS DECIMAL(10,2))), AVG(CAST(REPLACE(\"Age: 18–29\", '%', '') AS DECIMAL(10,2))), MEDIAN(CAST(REPLACE(\"Age: 18–29\", '%', '') AS DECIMAL(10,2))), STDDEV(CAST(REPLACE(\"Age: 18–29\", '%', '') AS DECIMAL(10,2))), 'VARCHAR' FROM raw.polling_on_ai_usage_jul_2026 UNION ALL SELECT 'Income: Under $25K', MIN(CAST(REPLACE(\"Income: Under $25K\", '%', '') AS DECIMAL(10,2))), MAX(CAST(REPLACE(\"Income: Under $25K\", '%', '') AS DECIMAL(10,2))), AVG(CAST(REPLACE(\"Income: Under $25K\", '%', '') AS DECIMAL(10,2))), MEDIAN(CAST(REPLACE(\"Income: Under $25K\", '%', '') AS DECIMAL(10,2))), STDDEV(CAST(REPLACE(\"Income: Under $25K\", '%', '') AS DECIMAL(10,2))), 'VARCHAR' FROM raw.polling_on_ai_usage_jul_2026 UNION ALL SELECT 'Education: Bachelor+', MIN(CAST(REPLACE(\"Education: Bachelor+\", '%', '') AS DECIMAL(10,2))), MAX(CAST(REPLACE(\"Education: Bachelor+\", '%', '') AS DECIMAL(10,2))), AVG(CAST(REPLACE(\"Education: Bachelor+\", '%', '') AS DECIMAL(10,2))), MEDIAN(CAST(REPLACE(\"Education: Bachelor+\", '%', '') AS DECIMAL(10,2))), STDDEV(CAST(REPLACE(\"Education: Bachelor+\", '%', '') AS DECIMAL(10,2))), 'VARCHAR' FROM raw.polling_on_ai_usage_jul_2026 UNION ALL SELECT 'Region: South', MIN(CAST(REPLACE(\"Region: South\", '%', '') AS DECIMAL(10,2))), MAX(CAST(REPLACE(\"Region: South\", '%', '') AS DECIMAL(10,2))), AVG(CAST(REPLACE(\"Region: South\", '%', '') AS DECIMAL(10,2))), MEDIAN(CAST(REPLACE(\"Region: South\", '%', '') AS DECIMAL(10,2))), STDDEV(CAST(REPLACE(\"Region: South\", '%', '') AS DECIMAL(10,2))), 'VARCHAR' FROM raw.polling_on_ai_usage_jul_2026",
        "purpose": "Compute distribution statistics (min, max, mean, median, stddev) for question_number and for percentage columns after converting them from VARCHAR to numeric"
    }
}