scientific-eda-correlation
CommunityAutomate EDA & correlation insights.
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill provides a streamlined workflow for exploratory data analysis (EDA), enabling quick understanding of distributions, outliers, and variable relationships in a dataset.
Core Features & Use Cases
- Compute descriptive statistics (mean, median, quartiles) for numeric variables, with optional grouping.
- Visualize distributions (boxplots/violin plots) and generate a correlation heatmap to reveal inter-variable relationships.
- Use case: a data scientist receives a new dataset and needs a ready-made pipeline to summarize structure, identify outliers, and spot strong correlations for feature engineering.
Quick Start
Apply this skill to a new dataset to generate descriptive statistics, distribution visuals, and a correlation heatmap in one cohesive workflow.
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: scientific-eda-correlation Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-eda-correlation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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