input: def create_data_visualization(x: list, y: list):
      """
      Create a simple data visualization dashboard using Matplotlib. The function 
      takes two lists, x and y, which represent the data points to be plotted on the 
      X-axis and Y-axis respectively. The function generates a line plot with markers 
      and dashed lines.
  
      >>> create_data_visualization([1, 2, 3, 4, 5], [10, 25, 30, 50, 80])
      # This will generate and display a plot with the title "My Data Visualization Dashboard" 
      # and x-axis labeled 'X-axis', y-axis labeled 'Y-axis'.
      """
  
      import matplotlib.pyplot as plt
  
      # 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:     import matplotlib.pyplot as plt
  
      # 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()