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@artale/pi-datasci

v1.0.0

Published

Data science toolkit. Profile datasets, correlation matrices, outlier detection, statistical summaries. CSV/JSON/JSONL support.

Readme

@artale/pi-datasci

First Data Science package in the pi ecosystem.

Profile datasets, compute correlations, detect outliers, generate statistical summaries — all without leaving the terminal.

Install

npm install -g @artale/pi-datasci

Features

  • Statistical profiling — min/max/mean/median/stddev/quartiles per column
  • Type inference — auto-detect numeric, string, boolean, date columns
  • Correlation matrix — Pearson correlation between numeric columns
  • Outlier detection — IQR method with high/low classification
  • Dataset comparison — side-by-side column overlap and stat comparison
  • CSV/JSON/JSONL — auto-detect format, handles quoted fields

Tools

  • datasci_profile — Full statistical profile of a dataset
  • datasci_describe — Quick summary statistics
  • datasci_outliers — Detect outliers per numeric column

Commands

  • /datasci profile <file> — Full profile with all stats
  • /datasci correlate <file> — Correlation matrix
  • /datasci outliers <file> — Outlier detection
  • /datasci sample <file> [n] — Random sample rows
  • /datasci compare <a> <b> — Compare two datasets