Add comprehensive README with project overview and documentation

- Beautiful markdown formatting with badges and sections
- Complete feature overview and technical details
- Data quality statistics and key insights
- Development instructions and contribution guidelines
- Proper attribution and licensing information
- Easy navigation with clear structure and emojis

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

README.md

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+# 🎵 Rolling Stone's Top 500 Albums
+
+A beautiful, interactive web application showcasing Rolling Stone's greatest albums of all time with visual comparisons between the 2020 and 2023 rankings.
+
+![Top 500 Albums](https://img.shields.io/badge/Albums-500-brightgreen)
+![Data Complete](https://img.shields.io/badge/Data-100%25%20Complete-success)
+![Cover Art](https://img.shields.io/badge/Cover%20Art-500%20Albums-blue)
+
+## ✨ Features
+
+- **Interactive Album Cards**: Browse all 500 albums with high-quality cover art
+- **Ranking Comparisons**: See how albums moved between 2020 and 2023 rankings
+- **Complete Metadata**: Full album information including artist, year, label, and descriptions
+- **Responsive Design**: Beautiful layout that works on all devices
+- **Search & Filter**: Easy navigation through the extensive collection
+
+## 🚀 Live Demo
+
+Open `index.html` in your browser to explore the collection, or serve it locally:
+
+```bash
+python -m http.server 8000
+# Then visit http://localhost:8000
+```
+
+## 📊 Data Sources
+
+- **2020 Rankings**: Rolling Stone's original 500 Greatest Albums list
+- **2023 Rankings**: Updated rankings from Rolling Stone's revised list
+- **Album Information**: Comprehensive metadata including release info and descriptions
+- **Cover Art**: High-quality album artwork sourced from iTunes API
+
+## 🎨 What's Included
+
+### Core Files
+- `index.html` - Main web application
+- `styles.css` - Beautiful, responsive styling
+- `script.js` - Interactive functionality
+- `favicon.svg` - Custom music note favicon
+
+### Data Files
+- `top_500_albums_2023.csv` - Complete dataset with 100% metadata coverage
+- `rolling_stone_top_500_albums_2020.csv` - Original 2020 rankings
+- `wikipedia_top_500_albums.csv` - Wikipedia sourced data for comparison
+
+### Assets
+- `covers/` - 500 high-quality album cover images (rank_XXX_Artist_Album.jpg)
+
+### Utilities
+- `scripts/` - Python scripts for data processing and maintenance
+
+## 🛠️ Scripts
+
+The repository includes various Python utilities for data management:
+
+| Script | Purpose |
+|--------|---------|
+| `compare_top500_albums.py` | Generate the main comparison dataset |
+| `merge_descriptions.py` | Merge album descriptions from multiple sources |
+| `download_album_covers.py` | Download album artwork from iTunes API |
+| `add_missing_info.py` | Add metadata for albums missing information |
+| `fill_missing_from_wikipedia.py` | Research and add Wikipedia-sourced descriptions |
+
+## 📈 Data Quality
+
+- **500/500 albums** with complete ranking information
+- **500/500 albums** with cover art
+- **500/500 albums** with metadata (artist, album, year, label)
+- **500/500 albums** with descriptions (mix of original Rolling Stone content and researched additions)
+
+## 🎯 Key Insights
+
+### Notable Changes (2020 → 2023)
+- **Biggest Climber**: Lauryn Hill's "The Miseducation of Lauryn Hill" (#10 in 2023, previously much lower)
+- **New Entries**: Recent albums like Beyoncé's "Renaissance" and Bad Bunny's "Un Verano Sin Ti"
+- **Genre Diversity**: Increased representation of hip-hop, R&B, and global music
+
+### Statistics
+- **Most Represented Artist**: The Beatles (multiple albums in top rankings)
+- **Decades Covered**: 1950s through 2020s
+- **Genres**: Rock, Hip-Hop, R&B, Soul, Punk, Electronic, Country, Jazz, and more
+
+## 🔧 Technical Details
+
+### Frontend
+- **Vanilla JavaScript** for maximum compatibility
+- **CSS Grid & Flexbox** for responsive layouts
+- **Progressive Enhancement** for accessibility
+
+### Data Processing
+- **Python 3** scripts for data manipulation
+- **CSV format** for easy data management
+- **iTunes API** integration for cover art
+- **Fuzzy string matching** for data correlation
+
+## 📝 Development
+
+### Running Locally
+1. Clone the repository
+2. Open `index.html` in a web browser
+3. For development with live reload, use any local server
+
+### Adding New Data
+1. Update the CSV files with new information
+2. Run appropriate scripts from the `scripts/` folder
+3. Regenerate cover art if needed using download scripts
+
+### Contributing
+- All album descriptions marked "(by Claude)" were AI-generated based on historical research
+- Original Rolling Stone descriptions preserved where available
+- Cover art sourced from iTunes API with proper attribution
+
+## 📜 License
+
+This project is for educational and research purposes. Album artwork and descriptions are used under fair use for educational commentary and criticism.
+
+- **Rolling Stone rankings**: © Rolling Stone Magazine
+- **Album artwork**: © Respective record labels and artists
+- **Code and compilation**: Open source
+
+## 🙏 Acknowledgments
+
+- **Rolling Stone Magazine** for the original rankings and descriptions
+- **iTunes API** for high-quality album artwork
+- **Wikipedia contributors** for additional album research
+- **Claude AI** for data processing assistance and missing descriptions
+
+---
+
+*Explore the greatest albums of all time and discover how musical tastes and recognition have evolved between 2020 and 2023.*
+
+🎧 **[Start Exploring →](index.html)**