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Zero-tuning CLI tool for quick numeric data sanity checks

Project description

sanitycheck-cli

What is this?

sanitycheck-cli is a zero-tuning CLI tool for quickly assessing the statistical cleanliness of numeric columns in CSV datasets.
It provides a fast, high-level overview before deeper analysis or modeling.

When should I use it?

  • Before exploratory data analysis (EDA)
  • Before training statistical or machine learning models
  • When you want a quick sanity check without manual inspection

What it does NOT do

  • It does not clean or modify data
  • It does not model relationships or correlations between features
  • It does not replace proper EDA or data validation pipelines

Quick start

Run the tool on a CSV file:

sanitycheck data.csv

Example output

📌Column problem: [0]

  • -: Abnormal similarity
  • -: Inconsistent value type

📌Row problem: [0]

📌Top anomalous rows:

  • Row 4867: score=0.625
  • Row 82: score=0.624
  • Row 1364: score=0.622
  • Row 1482: score=0.619
  • Row 4913: score=0.611

🔨 Final validation:

  • clarity score: 1.000

Interpretation tips

  • Higher clarity scores indicate cleaner numeric data

  • Anomalous rows are ranked, not classified — use them for inspection

  • Non-numeric columns are ignored by design

  • This tool is best used as a fast pre-analysis step

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