PHPMem v2.0.1

Version
1.6.45
Uptime
17 days 10 hours 40 minutes 48 seconds

Memory

Total
512MB
Used
12,72MB (2.48%)
Free
499,28MB

Keys

Current
14 060
Total (since start)
40 994
Evictions
0
Reclaimed
760
Expired Unfetched
0
Evicted Unfetched
0

Connections

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14 / 1 024 max
Total
237 955
Rejected
0
llm:97003f4c4042eac28f79796da238c266c0f62c3b8d93456b033f5e89e41aba30
TTL 6 days 7 hours 59 minutes 24 seconds Size 2,09KB Export
Edit
{
    "action": "tool_call",
    "reasoning": "My previous reply was a prose draft with no verifiable query result behind it, so I will recompute the distribution summary now. One query parses the VARCHAR numeric columns with TRY_CAST and profiles all nine columns together, so the rendered table backs the figures.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH v AS (SELECT 'Age' AS col, TRY_CAST(Age AS DOUBLE) AS x FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals UNION ALL SELECT 'Monthly_Income', TRY_CAST(Monthly_Income AS DOUBLE) FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals UNION ALL SELECT 'AI_Usage_Hours_Per_Day', TRY_CAST(AI_Usage_Hours_Per_Day AS DOUBLE) FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals UNION ALL SELECT 'Monthly_AI_Cost', TRY_CAST(Monthly_AI_Cost AS DOUBLE) FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals UNION ALL SELECT 'Time_Saved_Hours_Per_Week', TRY_CAST(Time_Saved_Hours_Per_Week AS DOUBLE) FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals UNION ALL SELECT 'Work_or_Study_Hours_Per_Day', TRY_CAST(Work_or_Study_Hours_Per_Day AS DOUBLE) FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals UNION ALL SELECT 'Productivity_Score', Productivity_Score FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals UNION ALL SELECT 'Accuracy_Rating', CAST(Accuracy_Rating AS DOUBLE) FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals UNION ALL SELECT 'Satisfaction_Score', CAST(Satisfaction_Score AS DOUBLE) FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals) SELECT col, COUNT(x) AS valid_n, COUNT(*) - COUNT(x) AS missing_or_unparsable, MIN(x) AS min_v, QUANTILE_CONT(x, 0.25) AS p25, MEDIAN(x) AS median_v, ROUND(AVG(x), 2) AS mean_v, QUANTILE_CONT(x, 0.75) AS p75, QUANTILE_CONT(x, 0.95) AS p95, MAX(x) AS max_v, ROUND(STDDEV(x), 2) AS std_dev FROM v GROUP BY col ORDER BY col",
        "purpose": "Profile distribution (min, quartiles, mean, p95, max, stddev, missing) of all nine numeric columns",
        "source": "raw"
    }
}