data-exploration-workflow
CommunityAutonomous multi-phase data exploration to insights.
Authorl3ocho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Guides and automates the end-to-end process of discovering, profiling, hypothesizing, testing, and synthesizing insights from data within a reproducible Jupyter notebook workflow.
Core Features & Use Cases
- Five-phase exploratory methodology (schema discovery, profiling, hypothesis generation, testing, synthesis) embedded in a repeatable notebook workflow.
- Designed for open-ended data exploration and generation of narrative, actionable insights from raw data.
- Real-world use cases include data-science projects where analysts want to uncover non-obvious patterns and produce a structured report.
Quick Start
Launch the workflow in a Jupyter environment and run the five-phase exploration on your dataset.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: data-exploration-workflow Download link: https://github.com/l3ocho/mktpl-claude-datasaas/archive/main.zip#data-exploration-workflow Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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