Exploratory Data Analysis

Exploratory Data Analysis is a Data skill for Claude Code, published by xintaofei in codeg.

2.8K stars345 forkson xintaofei/codegAdded 2026/08/17+3% in starsRepository updated 2026/08/17

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Install in seconds

Install Exploratory Data Analysis

Copy Exploratory Data Analysis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/xintaofei/codeg/tree/main/src-tauri/science/skills/exploratory-data-analysis ~/.claude/skills/exploratory-data-analysis

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/xintaofei/codeg.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: src-tauri/science/skills/exploratory-data-analysis/SKILL.md in xintaofei/codeg
Installs to: ~/.claude/skills/exploratory-data-analysis
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Exploratory Data Analysis does

Exploratory Data Analysis performs comprehensive exploratory data analysis on scientific data files in over 200 formats, detecting file type, assessing quality, and generating markdown reports. Use it to understand structure, content, and quality before downstream analysis.

Exploratory Data Analysis is cataloged under Data on DirSkills. Exploratory Data Analysis comes from a repository tagged acp, agent, claude-code, cline and code-generation.

Documentation

README

Excerpt

Exploratory Data Analysis

Overview

Perform comprehensive exploratory data analysis (EDA) on scientific data files across multiple domains. This skill provides automated file type detection, format-specific analysis, data quality assessment, and generates detailed markdown reports suitable for documentation and downstream analysis planning.

Key Capabilities:

Automatic detection and analysis of 200+ scientific file formats
Comprehensive format-specific metadata extraction
Data quality and integrity assessment
Statistical summaries and distributions
Visualization recommendations
Downstream analysis suggestions
Markdown report generation

When to Use This Skill

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Exploratory Data Analysis

What else does xintaofei publish alongside Exploratory Data Analysis?
Exploratory Data Analysis is one of 25 skills that DirSkills catalogs from xintaofei/codeg, the repository it ships in. Its siblings there include Brainstorming, Citation Management and Code Review Reception. Each one is a separate skill with its own page in this directory, installs the same way Exploratory Data Analysis does, and is maintained by xintaofei in that same repository. The rest of the collection is listed on the xintaofei/codeg page.
How does Exploratory Data Analysis compare to other Data skills?
Exploratory Data Analysis ranks #297 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Exploratory Data Analysis against them. Open each page to compare what they document and how they install.