SKILL·69130D

Exploratory Data Analysis

aj-geddes
Updated 2 months ago
170 views
74
9
74
View on GitHub
Metadesigndata

About

This Claude Skill performs exploratory data analysis to discover patterns, distributions, and relationships in datasets using visualization and summary statistics. It's designed for initial data profiling, hypothesis generation, and assessing data quality before formal modeling. Developers should use it at the start of any data science project to understand dataset characteristics and identify potential issues.

Quick Install

Claude Code

Recommended
Primary
npx skills add aj-geddes/useful-ai-prompts -a claude-code
Plugin CommandAlternative
/plugin add https://github.com/aj-geddes/useful-ai-prompts
Git CloneAlternative
git clone https://github.com/aj-geddes/useful-ai-prompts.git ~/.claude/skills/Exploratory Data Analysis

Copy and paste this command in Claude Code to install this skill

GitHub Repository

aj-geddes/useful-ai-prompts
Path: skills/exploratory-data-analysis
0
FAQ

Frequently asked questions

What is the Exploratory Data Analysis skill?

Exploratory Data Analysis is a Claude Skill by aj-geddes. Skills package instructions and resources that Claude loads on demand, so Claude can perform Exploratory Data Analysis-related tasks without extra prompting.

How do I install Exploratory Data Analysis?

Use the install commands on this page: add Exploratory Data Analysis to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.

What category does Exploratory Data Analysis belong to?

Exploratory Data Analysis is in the Meta category, tagged design and data.

Is Exploratory Data Analysis free to use?

Yes. Exploratory Data Analysis is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.

Related Skills

content-collections
Meta

This skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.

View skill
polymarket
Meta

This skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.

View skill
creating-opencode-plugins
Meta

This skill helps developers create OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It provides the plugin structure, event API specifications, and implementation patterns for JavaScript/TypeScript modules. Use it when you need to intercept, monitor, or extend the OpenCode AI assistant's lifecycle with custom event-driven logic.

View skill
sglang
Meta

SGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.

View skill