PHPMem v2.0.1
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1.6.45
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llm:6f58f67d72212bb1f41995c2e447795db19b711790693ca43f572ab11924ca9e
Edit
```json
{
"action": "final",
"content": "## Distribution Summary for Numeric Columns\n\nBased on the analysis of 216 rows in the dataset, here are the distribution statistics for each numeric column:\n\n### Call Volume Metrics\n\n**Total Calls**\n- Range: 21 to 9,135 calls\n- Mean: 641.3 calls\n- Median: 331.5 calls\n- Standard Deviation: 1,587.1 (indicating high variability)\n- The large difference between mean and median, plus the high standard deviation, suggests a right-skewed distribution with some days having exceptionally high call volumes.\n\n**AI Handled**\n- Range: 74 to 1,654 calls\n- Mean: 273.8 calls\n- Median: 270.0 calls\n- Standard Deviation: 248.0\n- More symmetric distribution (mean ≈ median), with moderate variability.\n\n**Human Handled**\n- Range: 16 to 404 calls\n- Mean: 65.2 calls\n- Median: 61.5 calls\n- Standard Deviation: 61.0\n- Relatively symmetric distribution with moderate spread.\n\n**Voicemail**\n- Range: 4 to 82 calls\n- Mean: 14.0 calls\n- Median: 14.0 calls\n- Standard Deviation: 12.2\n- Highly symmetric distribution (mean = median) with consistent variability.\n\n### Performance Metrics\n\n**AI Resolution %**\n- Range: 73.2% to 83.4%\n- Mean: 78.1%\n- Median: 77.6%\n- Standard Deviation: 2.9%\n- Very tight distribution indicating consistent AI performance across days.\n\n**Human %**\n- Range: 16.6% to 380.0%\n- Mean: 140.4%\n- Median: 140.0%\n- Standard Deviation: 73.9%\n- Note: The maximum value of 380% suggests this may not be a true percentage but rather a different metric (possibly duration or another measure), as percentages shouldn't exceed 100%.\n\n### Key Observations\n\n1. **Call volume variability**: Total Calls shows the highest variability (CV = 247%), indicating significant day-to-day fluctuations in demand.\n\n2. **Stable AI performance**: AI Resolution % has the tightest distribution (CV = 3.7%), showing consistent AI handling quality.\n\n3. **Symmetric distributions**: Most metrics show mean ≈ median, indicating relatively normal distributions without extreme skew.\n\n4. **Data quality note**: The \"Human %\" column appears to contain values that exceed 100%, suggesting it may represent a different metric than a percentage share.\n\nThese statistics are computed from the complete dataset of 216 daily records."
}
```