Data Analysis

---
name: data-analysis
version: 1.0.0
category: data
description: Data processing, visualization, exploratory data analysis, and dashboard
  patterns using Polars, Pandas, and Plotly.
type: reference
tags: []
scripts_exempt: true
---

# Data Analysis

## Overview

This library contains 8 production-ready skills for data analysis, visualization, and exploratory data analysis (EDA). Each skill covers a specific aspect of the data analysis workflow with patterns for performance, interactivity, and presentation. Skills follow the Anthropic Skills format with practical examples from real-world data projects.

## Quick Start

```bash
# Browse available skills
ls skills/data-analysis/

# Read a skill
cat skills/data-analysis/polars/SKILL.md

# Skills are documentation - implement patterns in your data workflows
```

## Version History

- **1.0.0** (2026-01-17): Initial release with 7 data analysis skills

---

*These skills represent patterns refined across data platforms processing millions of records and serving dashboards to thousands of users.*

## Sub-Skills

- [1. Lazy Evaluation First (+3)](1-lazy-evaluation-first/SKILL.md)

## Sub-Skills

- [Available Skills](available-skills/SKILL.md)
- [Data Processing (+4)](data-processing/SKILL.md)
- [Choose polars when: (+6)](choose-polars-when/SKILL.md)
- [Polars High-Performance Processing (+5)](polars-high-performance-processing/SKILL.md)
- [Data Pipeline Architecture (+2)](data-pipeline-architecture/SKILL.md)
- [Caching for Performance (+2)](caching-for-performance/SKILL.md)
- [Integration with Workspace-Hub](integration-with-workspace-hub/SKILL.md)
- [Testing Data Analysis Code](testing-data-analysis-code/SKILL.md)
- [Related Resources](related-resources/SKILL.md)