eda-tooling
CommunityTurn data into fast, clear EDA insights.
Data & Analytics#plotly#exploratory data analysis#seaborn#data profiling#dataviz#ydata profiling#sweetviz
AuthorTakfes
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you choose and use the right exploratory data analysis tools without wasting time on trial and error, especially when you need reliable library-specific patterns for fast dataset inspection.
Core Features & Use Cases
- Tool selection guidance: Quickly decide when to use YData Profiling, Sweetviz, AutoViz, Dataprep, Dabl, seaborn, matplotlib, or plotly.
- Iterative EDA workflow: Start with broad profiling, then move to target-aware ranking, comparison checks, and focused custom plots.
- Reproducible analysis: Save figures and their generating code so findings can be reviewed, regenerated, and refined later.
- Use case: A data analyst can use this Skill to profile a new table, identify the strongest relationships, and produce clean investigation plots for a report.
Quick Start
Ask for an EDA workflow for your dataset, specifying whether you want a first-pass profile, target-aware ranking, train-test comparison, or custom plots, and the Skill will recommend the right tools and steps.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: eda-tooling Download link: https://github.com/Takfes/indie-scaffolder/archive/main.zip#eda-tooling Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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