input: 
  def create_data_visualization(*x: List[int], *y: List[int], title: str, x_label: str, y_label: str, fig_size: tuple) -> None:
      """ Create a data visualization dashboard using Matplotlib with given x and y data, title, x-axis label, y-axis label, and figure size.
      >>> create_data_visualization([1,2,3,4,5], [10,25,30,50,80], "My Data Visualization Dashboard", "X-axis", "Y-axis", (10,6))
      # A plot with x=[1,2,3,4,5], y=[10,25,30,50,80], title="My Data Visualization Dashboard", xlabel="X-axis", ylabel="Y-axis", figure size=(10,6) is shown.
      """
      import matplotlib.pyplot as plt
      fig = plt.figure(figsize=fig_size)
      plt.plot(x, y, color='green', marker='o', linestyle='dashed', linewidth=2, markersize=12)
      plt.title(title)
      plt.xlabel(x_label)
      plt.ylabel(y_label)
      plt.show()
  
output:     import matplotlib.pyplot as plt
      fig = plt.figure(figsize=fig_size)
      plt.plot(x[0], y[0], color='green', marker='o', linestyle='dashed', linewidth=2, markersize=12)
      plt.title(title)
      plt.xlabel(x_label)
      plt.ylabel(y_label)
      plt.show()