gvm-analysis
CommunityPrivacy-preserving exploratory data analysis, grounded insights.
Authorgerquinn1978
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides privacy-preserving exploratory data analysis, offering a grounded findings report with insights, provenance, and methodology appendix.
Core Features & Use Cases
- Privacy-Preserving Analysis: Analyze datasets without exposing raw data, ensuring privacy.
- Reproducibility: Reports include provenance information for reproducibility.
- Use Case: Suppose you have a large dataset and need a quick understanding of its shape, outliers, and trends without writing code. The gvm-analysis skill can provide you with a grounded findings report that includes these insights.
Quick Start
Run the 'gvm-analysis' skill on your dataset 'data.csv'.
Dependency Matrix
Required Modules
pandasnumpyscipyscikit-learnstatsmodelsmatplotlibpyyamljinja2pymannkendallopenpyxlpyarrowrapidfuzzsquarify
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: gvm-analysis Download link: https://github.com/gerquinn1978/gvm/archive/main.zip#gvm-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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