jupyter-notebook-analysis
✓Best practices for creating comprehensive Jupyter notebook data analyses with statistical rigor, outlier handling, and publication-quality visualizations
Installation
SKILL.md
Expert knowledge for creating comprehensive, statistically rigorous Jupyter notebook analyses.
Problem: Using common variable names like data as loop variables overwrites global variables:
After this loop, data is no longer your dataset list - it's the last species dict!
Best practices for creating comprehensive Jupyter notebook data analyses with statistical rigor, outlier handling, and publication-quality visualizations Source: delphine-l/claude_global.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/delphine-l/claude_global --skill jupyter-notebook-analysis- Source
- delphine-l/claude_global
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-13
- Updated
- 2026-02-18
Quick answers
What is jupyter-notebook-analysis?
Best practices for creating comprehensive Jupyter notebook data analyses with statistical rigor, outlier handling, and publication-quality visualizations Source: delphine-l/claude_global.
How do I install jupyter-notebook-analysis?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/delphine-l/claude_global --skill jupyter-notebook-analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/delphine-l/claude_global
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-13