exploratory-data-analysis

SKILL.md

Perform comprehensive exploratory data analysis (EDA) on scientific data files across multiple domains. This skill provides automated file type detection, format-specific analysis, data quality assessment, and generates detailed markdown reports suitable for documentation and downstream analysis planning.

The skill has comprehensive coverage of scientific file formats organized into six major categories:

Chemistry and Molecular Formats (60+ extensions) Structure files, computational chemistry outputs, molecular dynamics trajectories, and chemical databases.

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats. Source: ovachiever/droid-tings.

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