input: 
  def create_data_visualization_dashboard():
      """Create a data visualization dashboard using Matplotlib. The function generates 
      some data and plots it on a graph with specific configurations including line style, 
      colors, and labels. Finally, it displays the plot.
      >>> create_data_visualization_dashboard()
      # This will display a plot with x = [1, 2, 3, 4, 5] and y = [10, 25, 30, 50, 80], 
      # title as "My Data Visualization Dashboard", x-axis labeled 'X-axis', 
      # y-axis labeled 'Y-axis', a green dashed line with circles as markers, 
      # line width of 2, and markersize of 12.
      """
      import matplotlib.pyplot as plt
      
      # 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:     # Save the plot to a file (optional)
      plt.savefig('data_visualization_dashboard.png')