input: 
  def generate_dashboard(data: List[Tuple[int, int]]) -> None:
      """Generate a data visualization dashboard using Matplotlib with the provided data.
      The data should be a list of tuples where each tuple represents a point (x, y).
      
      >>> generate_dashboard([(1, 10), (2, 25), (3, 30), (4, 50), (5, 80)])
      """
      import matplotlib.pyplot as plt
      
      # Unzip the data into separate x and y lists
      x, y = zip(*data)
      
      # Create the figure and set the size
      fig = plt.figure(figsize=(10,6))
      
      # Configure the plot
      plt.plot(x, y, color='green', marker='o', linestyle='dashed', linewidth=2, markersize=12)
      plt.title("My Data Visualization Dashboard")
      plt.xlabel('X-axis')
      plt.ylabel('Y-axis')
      
      # Show the plot
      plt.show()
  
output:     # Add grid lines
      plt.grid(True, which='both', linestyle='--', linewidth=0.5)
      
      # Add a legend
      plt.legend(['Data Points'], loc='upper left')
      
      # Save the plot as an image file
      plt.savefig('dashboard.png')