exploratory-data-analysis

Detect scientific data file formats and generate Markdown analysis reports.

22|4|Updated May 25, 2026

Search Tags:#reporting #quality #data-analysis #eda #markdown-report #file-format #scientific-data

Ready to run

npx skills add https://github.com/crazymsn/academic-skills --skill exploratory-data-analysis-crazymsn

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: exploratory-data-analysis
Source: https://github.com/crazymsn/academic-skills/tree/main/academic-skills/exploratory-data-analysis
Command: npx skills add https://github.com/crazymsn/academic-skills --skill exploratory-data-analysis-crazymsn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, biopython, Pillow, h5py, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the initial inspection of scientific data files by identifying formats, extracting key metadata, and generating detailed markdown reports to guide downstream analysis.

Core Features & Use Cases

Automatic file type detection for 200+ formats
Metadata extraction and quality checks
Markdown report generation with actionable recommendations
Use Case: Analyze a dataset folder to produce a consolidated report for project stakeholders

Quick Start

Provide a sample data file to the AI, and the Skill will generate a detailed EDA report and summary insights.

Frequently Asked Questions about exploratory-data-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate exploratory data analysis for scientific data files?▼

You can automate exploratory data analysis by providing a scientific data file to the AI. The Skill detects the format, extracts metadata, performs quality checks, and generates a Markdown report with actionable recommendations.

What is the best way to generate an EDA report for genomics or spectroscopy data?▼

Generating an EDA report for scientific data is handled by automatic file type detection and type-specific analysis routing. The Skill processes formats across genomics, spectroscopy, and chemistry to assess structure and output a consolidated Markdown report.

Can I use this to analyze a dataset folder and produce a report for stakeholders?▼

Yes, you can analyze a dataset folder to produce a consolidated report for project stakeholders. The workflow identifies formats, extracts key metadata, and generates detailed Markdown summaries to guide downstream analysis.

Does this automated data discovery support HDF5 or image files?▼

Automated data discovery supports HDF5 and image files through its underlying dependencies. It automatically detects these formats among 200+ scientific types, extracting metadata and performing quality checks.

How do metadata extraction and quality checks work for unknown scientific formats?▼

Metadata extraction and quality checks work by automatically detecting file formats and routing them to type-specific analysis. This assesses the data structure and quality before generating recommendations in a Markdown report.

What are the limitations of using automated EDA for scientific data?▼

Automated EDA focuses on initial inspection, metadata extraction, and quality assessment rather than executing full downstream analysis. It generates actionable recommendations to guide subsequent processing rather than completing the final analysis itself.