F1 Management System

A comprehensive Formula 1 data management and visualization system built in Java, featuring real-time statistics, interactive comparisons, and detailed analytics for the 2024 F1 season.

🏎️ Features

Data Management

• Complete F1 2024 season data management
• Real-time statistics tracking
• Comprehensive driver and team information
• Circuit details with precise measurements
• Race results and standings

Interactive Comparisons

Driver Comparison

• Simple Comparison: Direct points and position comparison
• Visual Comparison: Detailed statistical analysis including:
  • Victories
  • Podiums
  • Pole positions
  • Fastest laps
  • Total points

Team Comparison

• Simple Comparison: Direct championship points comparison
• Visual Comparison: Comprehensive team statistics including:
  • Total points
  • Race victories
  • Last victory date
  • Historical championships

User Interface

• Intuitive command-line interface
• ASCII art banner for enhanced visual appeal
• Unicode-based table formatting
• Dynamic spacing and alignment
• Error-resistant input handling

💻 Technical Implementation

Core Technologies

• Java 17+
• Object-Oriented Programming
• Stream API for data processing
• LocalDate for date management
• Custom comparators for sorting

Key Design Patterns

• Data Access Layer: Separate data loading and management
• Model-View Pattern: Clear separation of data and presentation
• Factory Pattern: For object creation and data initialization
• Strategy Pattern: For different comparison methods

Code Quality

• Comprehensive error handling
• Input validation at all levels
• Clean code principles
• Consistent formatting
• Detailed documentation

🛠️ Technical Features

Data Processing

// Efficient data filtering using Stream API
List<Carrera> filtradas = carreras.stream()
    .filter(c -> c.getNombre().equalsIgnoreCase(filtro) ||
                fechaCoincide(c.getFecha(), filtro))
    .toList();

Dynamic Formatting

// Unicode-based table formatting with dynamic spacing
System.out.printf("║ %-30s │ %-20.1f ║\n", 
    equipo.getNombreCompleto(), 
    equipo.getPuntos2024());

Error Handling

try {
    int id = Integer.parseInt(input);
    // Process valid input
} catch (NumberFormatException e) {
    // Handle invalid input
} finally {
    scanner.nextLine(); // Buffer cleanup
}

📊 Data Visualization

Circuit Information

╔════════════════════════════════════════════════════════════╗
║ 📏 CIRCUIT CHARACTERISTICS                                ║
╟────────────────────────────────────────────────────────────╢
║ Length: 5412 meters                                       ║
║ Laps: 57                                                 ║
║ Total Distance: 308484 meters                            ║
╚════════════════════════════════════════════════════════════╝

Driver Comparison

╔════════════════════════════════════════════════════════════╗
║ 📊 DRIVER COMPARISON                                      ║
╟────────────────────────────────────────────────────────────╢
║ [Driver 1] leads [Driver 2] by [X] points                 ║
╟────────────────────────────────────────────────────────────╢
║ DRIVER                    │ POINTS 2024                   ║
╟────────────────────────────────────────────────────────────╢
║ [Driver 1]               │ [Points]                       ║
║ [Driver 2]               │ [Points]                       ║
╚════════════════════════════════════════════════════════════╝

🔍 Key Methods

Data Management

• CargadorDatos.cargarEquipos(): Team data loading
• CargadorDatos.cargarPilotos(): Driver data loading
• CargadorDatos.cargarCircuitos(): Circuit data loading
• CargadorDatos.cargarCarreras(): Race data loading

Comparison Methods

• compararPilotos(): Driver comparison logic
• compararEquipos(): Team comparison logic
• mostrarComparacionSimplePilotos(): Simple driver comparison
• mostrarComparacionSimpleEquipos(): Simple team comparison

Data Display

• mostrarInfoCircuito(): Circuit information display
• mostrarInfoPiloto(): Driver information display
• mostrarInfoEquipo(): Team information display

🚀 Future Enhancements

• Database integration for persistent storage
• REST API for remote access
• Real-time data updates
• Historical data analysis
• Predictive analytics
• Web interface

🛠️ Development Setup

1. Clone the repository
2. Ensure Java 17+ is installed
3. Compile the project:

   javac Main.java

4. Run the application:

   java Main

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

👥 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.