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RSK World
sports-analysis
RSK World
sports-analysis
Sports Analysis Dataset - Game Footage + Player Tracking + Event Annotations + OpenCV + Video Analysis
sports-analysis
  • .github
  • assets
  • data
  • docs
  • examples
  • scripts
  • .gitignore577 B
  • ADVANCED_FEATURES.md7.1 KB
  • CHANGELOG.md3.5 KB
  • CONTRIBUTING.md1 KB
  • DATA_SUMMARY.md4.1 KB
  • ERROR_CHECK_REPORT.md3.6 KB
  • GITHUB_RELEASE_GUIDE.md4.3 KB
  • LICENSE1.3 KB
  • PROJECT_SUMMARY.md3.8 KB
  • README.md2.7 KB
  • RELEASE_NOTES.md5.6 KB
  • api.html10.3 KB
  • config.json1.6 KB
  • dashboard.html9.6 KB
  • explorer.html8.8 KB
  • index.html95.9 KB
  • package.json1.3 KB
  • server.js7.9 KB
  • sports-analysis.png2.7 MB
  • sports-analysis.zip13.6 KB
  • sports-analysis.zip.info514 B
RELEASE_NOTES.md
RELEASE_NOTES.md
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RELEASE_NOTES.md

# Release Notes - Sports Analysis Dataset v2.0.0

<!--
RSK World
Founder: Molla Samser
Designer & Tester: Rima Khatun
Email: help@rskworld.in
Phone: +91 93305 39277
Address: Nutanhat, Mongolkote, Purba Burdwan, West Bengal, India, 713147
Website: https://rskworld.in/
-->

## 🎉 Version 2.0.0 - Advanced Features Release

**Release Date:** January 15, 2026
**Repository:** https://github.com/rskworld/sports-analysis

---

## 📦 What's New

This release introduces major advanced features including interactive dashboards, data exploration tools, REST API server, and comprehensive documentation.

### ✨ Key Features

#### 🎯 Interactive Analytics Dashboard
- Real-time statistics cards showing key metrics
- Interactive charts (Chart.js):
- Events distribution (doughnut chart)
- Sports coverage (bar chart)
- Player performance metrics (line chart)
- Top performers leaderboard
- Comprehensive games data table
- Export functionality (CSV, JSON)

#### 🔍 Data Explorer
- Advanced search and filter interface
- Multi-filter system (sport, event type, date range)
- Real-time result updates
- Quick statistics sidebar
- Export filtered results to JSON

#### 🚀 REST API Server
- Complete RESTful API with 6 endpoints
- JSON responses with CORS support
- Query parameter filtering
- Express.js server implementation
- Full API documentation

#### 📊 Advanced Statistics Calculator
- Python-based statistics calculator
- Player distance calculation
- Average speed analysis
- Event statistics
- Performance metrics analysis
- Comprehensive report generation

#### 📚 Enhanced Documentation
- Complete installation guide with step-by-step instructions
- File-by-file detailed guide
- API documentation with code examples
- Advanced features documentation
- Troubleshooting guide

---

## 🆕 New Files

### HTML Pages
- `dashboard.html` - Analytics dashboard
- `explorer.html` - Data explorer interface
- `api.html` - API documentation

### JavaScript
- `assets/js/dashboard.js` - Dashboard functionality
- `assets/js/explorer.js` - Explorer functionality

### CSS
- `assets/css/dashboard.css` - Dashboard styles
- `assets/css/explorer.css` - Explorer styles

### Server & Configuration
- `server.js` - Node.js API server

### Documentation
- `ADVANCED_FEATURES.md` - Advanced features guide
- `DATA_SUMMARY.md` - Dataset contents summary
- `ERROR_CHECK_REPORT.md` - Error check documentation
- `PROJECT_SUMMARY.md` - Project overview

### Python Examples
- `examples/statistics_calculator.py` - Advanced statistics calculator

### Scripts
- `scripts/create_dataset_zip.py` - ZIP creation script
- `scripts/create_dataset_zip.bat` - Windows batch script
- `scripts/create_dataset_zip.sh` - Linux/Mac shell script

---

## 🔧 Technical Improvements

- Express.js integration for API server
- Chart.js for data visualization
- Advanced filtering algorithms
- Asynchronous data loading
- Error handling improvements
- Code organization and modularity
- Responsive design enhancements

---

## 📋 Data Files

### Annotations
- `data/annotations/tracking_001.json` - Football tracking data
- `data/annotations/tracking_002.json` - Basketball tracking data
- `data/annotations/events_001.json` - Football events (5 events)
- `data/annotations/events_002.json` - Basketball events (2 events)
- `data/annotations/performance_metrics_001.csv` - Performance data (8 players)

### Metadata
- `data/metadata/games_metadata.json` - Complete game metadata
- `data/structure.json` - Dataset structure definition

---

## 🚀 Getting Started

### Prerequisites
- Node.js (v14 or higher)
- Python 3 (v3.7 or higher)
- Modern web browser

### Installation
```bash
# Clone the repository
git clone https://github.com/rskworld/sports-analysis.git
cd sports-analysis

# Install dependencies
npm install

# Start the API server
npm start
```

### Usage
- **Main Page:** `http://localhost:3000/index.html`
- **Dashboard:** `http://localhost:3000/dashboard.html`
- **Data Explorer:** `http://localhost:3000/explorer.html`
- **API Documentation:** `http://localhost:3000/api.html`
- **API Endpoints:** `http://localhost:3000/api/games`

---

## 📖 Documentation

Complete documentation is available in the repository:
- [README.md](README.md) - Main documentation
- [INSTALLATION GUIDE](index.html#installation) - Step-by-step installation
- [API Documentation](api.html) - API reference
- [Advanced Features](ADVANCED_FEATURES.md) - Feature documentation

---

## 🐛 Bug Fixes

- Fixed file path issues in `games_metadata.json`
- Fixed duplicate scripts in `package.json`
- Improved JavaScript visibility handling
- Enhanced error handling

---

## 🔄 Migration Guide

If you're upgrading from v1.0.0:

1. Run `npm install` to install new dependencies
2. Review `CHANGELOG.md` for breaking changes
3. Check `ADVANCED_FEATURES.md` for new features
4. Update any custom scripts to use new API endpoints

---

## 📝 Changelog

See [CHANGELOG.md](CHANGELOG.md) for detailed version history.

---

## 👥 Contributors

**RSK World**
- **Founder:** Molla Samser
- **Designer & Tester:** Rima Khatun
- **Email:** help@rskworld.in
- **Website:** https://rskworld.in/

---

## 📄 License

MIT License - See [LICENSE](LICENSE) file for details.

---

## 🔗 Links

- **Repository:** https://github.com/rskworld/sports-analysis
- **Website:** https://rskworld.in/
- **Issues:** https://github.com/rskworld/sports-analysis/issues

---

**Thank you for using Sports Analysis Dataset!**

© 2026 RSK World. All rights reserved.

About RSK World

Founded by Molla Samser, with Designer & Tester Rima Khatun, RSK World is your one-stop destination for free programming resources, source code, and development tools.

Founder: Molla Samser
Designer & Tester: Rima Khatun

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