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csv-data-summarizer-claude-skill

(★ 452)

A Claude Skill that automatically analyzes uploaded CSV files — generating summary statistics, detecting missing data, and creating quick visualizations using Python and pandas.

파일 탐색기

최종 버전 다운로드 (.zip)

- showcase_financial_pl_data.csv
- README.md
- sample.csv
.gitignore
analyze.py
csv-data-summarizer.zip
README.md
requirements.txt
SKILL.md

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd csv-data-summarizer-claude-skill

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Python

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

pip install -r requirements.txt

requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

// repository documentation

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---

# 📊 CSV Data Summarizer - Claude Skill

A powerful Claude Skill that automatically analyzes CSV files and generates comprehensive insights with visualizations. Upload any CSV and get instant, intelligent analysis without being asked what you want!

<div align="center">

[![Version](https://img.shields.io/badge/version-2.1.0-blue.svg)](https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill)
[![Python](https://img.shields.io/badge/python-3.8+-green.svg)](https://www.python.org/)
[![License](https://img.shields.io/badge/license-MIT-orange.svg)](https://raw.githubusercontent.com/coffeefuelbump/csv-data-summarizer-claude-skill/main/LICENSE)

</div>

## 🚀 Features

- **🤖 Intelligent & Adaptive** - Automatically detects data type (sales, customer, financial, survey, etc.) and applies relevant analysis
- **📈 Comprehensive Analysis** - Generates statistics, correlations, distributions, and trends
- **🎨 Auto Visualizations** - Creates multiple charts based on what's in your data:
  - Time-series plots for date-based data
  - Correlation heatmaps for numeric relationships
  - Distribution histograms
  - Categorical breakdowns
- **⚡ Proactive** - No questions asked! Just upload CSV and get complete analysis immediately
- **🔍 Data Quality Checks** - Automatically detects and reports missing values
- **📊 Multi-Industry Support** - Adapts to e-commerce, healthcare, finance, operations, surveys, and more

## 📥 Quick Download

<div align="center">

### Get Started in 2 Steps

**1️⃣ Download the Skill**  
[![Download Skill](https://img.shields.io/badge/Download-CSV%20Data%20Summarizer%20Skill-blue?style=for-the-badge&logo=download)](https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill/raw/main/csv-data-summarizer.zip)

**2️⃣ Try the Demo Data**  
[![Download Demo CSV](https://img.shields.io/badge/Download-Sample%20P%26L%20Financial%20Data-green?style=for-the-badge&logo=data)](https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill/raw/main/examples/showcase_financial_pl_data.csv)

</div>

---

## 📦 What's Included

```
csv-data-summarizer-claude-skill/
├── SKILL.md              # Claude Skill definition
├── analyze.py            # Comprehensive analysis engine
├── requirements.txt      # Python dependencies
├── examples/
│   └── showcase_financial_pl_data.csv  # Demo P&L financial dataset (15 months, 25 metrics)
└── resources/
    ├── sample.csv        # Example dataset
    └── README.md         # Usage documentation
```

## 🎯 How It Works

1. **Upload** any CSV file to Claude.ai
2. **Skill activates** automatically when CSV is detected
3. **Analysis runs** immediately - inspects data structure and adapts
4. **Results delivered** - Complete analysis with multiple visualizations

No prompting needed. No options to choose. Just instant, comprehensive insights!

## 📥 Installation

### For Claude.ai Users

1. Download the latest release: [`csv-data-summarizer.zip`](https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill/releases)
2. Go to [Claude.ai](https://claude.ai) → Settings → Capabilities → Skills
3. Upload the zip file
4. Enable the skill
5. Done! Upload any CSV and watch it work ✨

### For Developers

```bash
git clone git@github.com:coffeefuelbump/csv-data-summarizer-claude-skill.git
cd csv-data-summarizer-claude-skill
pip install -r requirements.txt
```

## 📊 Sample Dataset Highlights

The included demo CSV contains **15 months of P&L data** with:
- 3 product lines (SaaS, Enterprise, Services)
- 25 financial metrics including revenue, expenses, margins, CAC, LTV
- Quarterly trends showing business growth
- Perfect for showcasing time-series analysis, correlations, and financial insights

## 🎨 Example Use Cases

- **📊 Sales Data** → Revenue trends, product performance, regional analysis
- **👥 Customer Data** → Demographics, segmentation, geographic patterns
- **💰 Financial Data** → Transaction analysis, trend detection, correlations
- **⚙️ Operational Data** → Performance metrics, time-series analysis
- **📋 Survey Data** → Response distributions, cross-tabulations

## 🛠️ Technical Details

**Dependencies:**
- Python 3.8+
- pandas 2.0+
- matplotlib 3.7+
- seaborn 0.12+

**Visualizations Generated:**
- Time-series trend plots
- Correlation heatmaps
- Distribution histograms
- Categorical bar charts

## 📝 Example Output

```
============================================================
📊 DATA OVERVIEW
============================================================
Rows: 100 | Columns: 15

📋 DATA TYPES:
  • order_date: object
  • total_revenue: float64
  • customer_segment: object
  ...

🔍 DATA QUALITY:
✓ No missing values - dataset is complete!

📈 NUMERICAL ANALYSIS:
[Summary statistics for all numeric columns]

🔗 CORRELATIONS:
[Correlation matrix showing relationships]

📅 TIME SERIES ANALYSIS:
Date range: 2024-01-05 to 2024-04-11
Span: 97 days

📊 VISUALIZATIONS CREATED:
  ✓ correlation_heatmap.png
  ✓ time_series_analysis.png
  ✓ distributions.png
  ✓ categorical_distributions.png
```

## 🌟 Connect & Learn More

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## 🤝 Contributing

Contributions are welcome! Feel free to:
- Report bugs
- Suggest new features
- Submit pull requests
- Share your use cases

## 📄 License

MIT License - feel free to use this skill for personal or commercial projects!

## 🙏 Acknowledgments

Built for the Claude Skills platform by [Anthropic](https://www.anthropic.com/news/skills).

---

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**Made with ❤️ for the AI community**

⭐ Star this repo if you find it useful!

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