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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.
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
The source has not provided a public SKILL.md for this record.
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