PHPMem v2.0.1
Version
1.6.45
Uptime
7 days 9 hours 10 minutes 37 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
Current
3 / 1 024 max
Total
64 727
Rejected
0
llm:4f51615024e6def7e6ebd45b23097d4f600bfe555b47859cc6cb2b81b6ca3a92
Edit
I need to find correlations between columns in this dataset. Let me start by examining the numeric columns more closely to compute correlations.
```json
{
"action": "tool_call",
"reasoning": "To find correlations, I need to compute correlation coefficients between numeric columns. The dataset has many numeric measures (age, height, reach, weight, wins, losses, draws, KOs, judge scores for both fighters A and B). I'll write a SQL query to calculate Pearson correlations between key numeric columns.",
"tool": "query_sql",
"args": {
"sql": "SELECT CORR(age_A, age_B) as age_corr, CORR(height_A, height_B) as height_corr, CORR(reach_A, reach_B) as reach_corr, CORR(weight_A, weight_B) as weight_corr, CORR(won_A, won_B) as wins_corr, CORR(lost_A, lost_B) as losses_corr, CORR(kos_A, kos_B) as kos_corr, CORR(age_A, height_A) as age_height_A_corr, CORR(height_A, reach_A) as height_reach_A_corr, CORR(height_A, weight_A) as height_weight_A_corr, CORR(reach_A, weight_A) as reach_weight_A_corr, CORR(won_A, lost_A) as won_lost_A_corr, CORR(won_A, kos_A) as won_kos_A_corr FROM raw.boxing_matches",
"purpose": "Calculate correlation coefficients between key numeric columns to identify strongly related pairs",
"source": "raw"
}
}
```