Skills › Data & Databases › Data engineering & pipelines
exploratory-data-analysis
Comprehensive exploratory data analysis across 200+ scientific file formats: auto-detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream recommendations (chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, general scientific data). AI-curated ebizapple super-skill (merged from 2 sources).
Tools: scripts/eda_analyzer.py,assets/report_template.md,references/
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name: exploratory-data-analysis
description: 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.
license: MIT license
tier: premium
super_skill: true
merged_from: [222, 844]
domain: scientific-data-analysis
subcategory: exploratory
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This is a premium super-skill. The full, curated skill unlocks with membership.