input: 
  import matplotlib
  import matplotlib.pyplot as plt
  
  def create_dashboard() -> None:
      """ Creates and displays a data visualization dashboard using Matplotlib.
      >>> create_dashboard()
      # A plot window opens showing a line plot with green, dashed lines, titled 'My Data Visualization Dashboard'
      """
      # Generate the data for the dashboard
      x = [1, 2, 3, 4, 5]
      y = [10, 25, 30, 50, 80]
      
      # 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 a grid to the plot
      plt.grid(True, which='both', linestyle='--', linewidth=0.5)
      
      # Add a legend
      plt.legend(['Data Series 1'], loc='upper left')
      
      # Add a text annotation
      plt.text(3, 40, 'Peak Value', fontsize=12, color='red')
      
      # Add a horizontal line at y=50
      plt.axhline(y=50, color='blue', linestyle='-', linewidth=1)
      
      # Add a vertical line at x=3
      plt.axvline(x=3, color='purple', linestyle='-', linewidth=1)
      
      # Save the figure to a file
      plt.savefig('dashboard.png')