PHPMem v2.0.1
Version
1.6.45
Uptime
17 days 18 hours 18 minutes 11 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
Current
2 / 1 024 max
Total
240 702
Rejected
0
llm:c8823f050236aaf6c2eb8699bd48ce255e616b26ee47baa11fdfda0a272de7ce
Edit
{
"action": "tool_call",
"reasoning": "Check categorical value spellings/casing/whitespace and counts to detect inconsistent labels across categorical columns in one query.",
"tool": "query_sql",
"args": {
"sql": "SELECT 'Gender' AS col, Gender AS val, COUNT(*) AS n FROM raw.Social_media_impact_on_life GROUP BY 2 UNION ALL SELECT 'Academic_Level', Academic_Level, COUNT(*) FROM raw.Social_media_impact_on_life GROUP BY 2 UNION ALL SELECT 'Primary_Platform', Primary_Platform, COUNT(*) FROM raw.Social_media_impact_on_life GROUP BY 2 UNION ALL SELECT 'Device_Type', Device_Type, COUNT(*) FROM raw.Social_media_impact_on_life GROUP BY 2 UNION ALL SELECT 'Social_Comparison_Frequency', Social_Comparison_Frequency, COUNT(*) FROM raw.Social_media_impact_on_life GROUP BY 2 UNION ALL SELECT 'Overall_Impact', Overall_Impact, COUNT(*) FROM raw.Social_media_impact_on_life GROUP BY 2 UNION ALL SELECT 'Late_Night_Usage', CAST(Late_Night_Usage AS VARCHAR), COUNT(*) FROM raw.Social_media_impact_on_life GROUP BY 2 ORDER BY 1, 3 DESC",
"purpose": "Distinct values per categorical column to detect inconsistent labels",
"source": "raw"
}
}