PHPMem v2.0.1
Version
1.6.45
Uptime
7 days 8 hours 15 minutes 5 seconds
Memory
Total
512MB
Used
13,32MB (2.6%)
Free
498,68MB
Keys
Current
10 162
Total (since start)
11 092
Evictions
0
Reclaimed
157
Expired Unfetched
0
Evicted Unfetched
0
Connections
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3 / 1 024 max
Total
63 532
Rejected
0
llm:80430eb4d1a71167ae6cf406d0ab3910d8716fd45526346d6a989e453d5e56c3
Edit
{
"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",
"purpose": "Compute distribution statistics (min, max, mean, median, stddev) for question_number and for percentage columns after converting them from VARCHAR to numeric",
"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: $100K+', MIN(CAST(REPLACE(\"Income: $100K+\", '%', '') AS DECIMAL(10,2))), MAX(CAST(REPLACE(\"Income: $100K+\", '%', '') AS DECIMAL(10,2))), AVG(CAST(REPLACE(\"Income: $100K+\", '%', '') AS DECIMAL(10,2))), MEDIAN(CAST(REPLACE(\"Income: $100K+\", '%', '') AS DECIMAL(10,2))), STDDEV(CAST(REPLACE(\"Income: $100K+\", '%', '') 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 ORDER BY column_name"
}