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Exploratory Data Analysis

exploratory-data-analysis

Perform bounded local exploration of explicitly supported scientific files, including missingness, leakage, outliers and transformation sensitivity, with a reviewable report scaffold.

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From the source

  • Aggregate profiles, data-quality risks and a structured exploratory analysis report.
  • Does not automatically modify raw data, support every format, or establish causal, clinical or confirmatory conclusions.
  • Confirm the data root, format, permissions and scope.
  • Run only the documented bounded inspections for supported files.
  • Review aggregate findings and distinguish exploration from validation.
  • Core CLIs require Python 3.11+; the full optional snapshot requires Python 3.12+ and uv.
  • Format-specific libraries are optional; inspect the pinned SKILL.md for exact scope.
  • Use authorized local files within an explicit data root.

Original SKILL.md

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