exploratory-data-analysis
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 scientif
Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation
View all platforms →skilz install K-Dense-AI_claude-scientific-skills/exploratory-data-analysis skilz install K-Dense-AI_claude-scientific-skills/exploratory-data-analysis --agent opencode skilz install K-Dense-AI_claude-scientific-skills/exploratory-data-analysis --agent codex skilz install K-Dense-AI_claude-scientific-skills/exploratory-data-analysis --agent gemini
First time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/K-Dense-AI/claude-scientific-skills cp -r claude-scientific-skills/scientific-skills/exploratory-data-analysis ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Details
- Owner
- K-Dense-AI
- Repository
- claude-scientific-skills
- Stars
- 2,349
- Forks
- 279
- Type
- Technical
- Meta-Domain
- data ai
- Primary Domain
- database
- Sub-Domain
- seed database testing
- Skill Size
- 146.2 KB
- Files
- 9
- Quality Score
- 54.5
AI-Detected Topics
Extracted using NLP analysis
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