data-cruncher

name	data-cruncher
description	Statistical analysis of CSV files: descriptive stats (mean, std, percentiles), Pearson correlation between columns, and IQR-based outlier detection
version	1.0.0

Usage

Run python3 skills/data-cruncher/analyze.py <csv-file> [options] via the shell tool.

Default behavior (no flags): prints full statistical summary for all numeric columns.

Options:

• --correlate <col1> <col2> — Pearson correlation coefficient between two columns
• --outliers <col> — detect outliers in a column using IQR method (1.5×IQR fence)

Statistics computed: count, mean, std, min, p25, p50, p75, p99, max

Examples

python3 skills/data-cruncher/analyze.py sample_data/metrics.csv
python3 skills/data-cruncher/analyze.py sample_data/metrics.csv --correlate cpu_usage response_time_ms
python3 skills/data-cruncher/analyze.py sample_data/metrics.csv --outliers response_time_ms