CSV Data Summarizer

<div align="center"> [-4F46E5?style=for-the-badge)](https://www.skool.com/ai-for-your-business) [](https://github.com/coffeefuelbump) [](https://linktr.ee/corbin_brown) [](https://www.youtube.com/channel/UCJFMlSxcvlZg5yZUYJT0Pug/join) </div> --- # 📊 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"> [](https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill) [](https://www.python.org/) [](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** [](https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill/raw/main/csv-data-summarizer.zip) **2️⃣ Try the Demo 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 [email protected]: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 <div align="center"> [-blue?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJ3aGl0ZSI+PHBhdGggZD0iTTEyIDJDNi40OCAyIDIgNi40OCAyIDEyczQuNDggMTAgMTAgMTAgMTAtNC40OCAxMC0xMFMxNy41MiAyIDEyIDJ6bTAgM2MxLjY2IDAgMyAxLjM0IDMgM3MtMS4zNCAzLTMgMy0zLTEuMzQtMy0zIDEuMzQtMyAzLTN6bTAgMTQuMmMtMi41IDAtNC43MS0xLjI4LTYtMy4yMi4wMy0xLjk5IDQtMy4wOCA2LTMuMDggMS45OSAwIDUuOTcgMS4wOSA2IDMuMDgtMS4yOSAxLjk0LTMuNSAzLjIyLTYgMy4yMnoiLz48L3N2Zz4=)](https://www.skool.com/ai-for-your-business/about) [](https://linktr.ee/corbin_brown) [](https://www.youtube.com/channel/UCJFMlSxcvlZg5yZUYJT0Pug/join) [](https://twitter.com/corbin_braun) </div> ## 🤝 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). --- <div align="center"> **Made with ❤️ for the AI community** ⭐ Star this repo if you find it useful! </div>