input: 
  import matplotlib
  import matplotlib.pyplot as plt
  
  def create_data_visualization_dashboard():
      """Create a data visualization dashboard in Python using Matplotlib.
      Example:
      create_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 second plot to the dashboard
      x2 = [1, 2, 3, 4, 5]
      y2 = [5, 15, 20, 30, 40]
  
      plt.subplot(2, 1, 2)
      plt.plot(x2, y2, color='blue', marker='s', linestyle='-', linewidth=2, markersize=10)
      plt.title("Second Data Set")
      plt.xlabel('X2-axis')
      plt.ylabel('Y2-axis')
  
      # Adjust layout to prevent overlap
      plt.tight_layout()