input: 
  def create_data_visualization_dashboard() -> None:
      """
      Create a data visualization dashboard using Matplotlib. The dashboard will include
      a plot with a custom configuration including title, axis labels, and styling.
      
      >>> create_data_visualization_dashboard()
  
      # This function does not return any value; it directly shows the plot.
      """
  
output:     import matplotlib.pyplot as plt
  
      # Sample data
      x = [1, 2, 3, 4, 5]
      y = [2, 3, 5, 7, 11]
  
      # Create a plot
      plt.plot(x, y, marker='o', linestyle='-', color='b')
  
      # Customize the plot
      plt.title('Sample Data Visualization')
      plt.xlabel('X-axis')
      plt.ylabel('Y-axis')
      plt.grid(True)
  
      # Show the plot
      plt.show()