input: Write a function to create a data visualization dashboard in Python using Matplotlib. The function should generate a sample dataset, configure a plot with specified properties and display it. If the function is successful, it should return True, otherwise False. If the input dataset is empty, the function should return True to indicate that an empty dashboard can be created.
  assert generate_dashboard([1,2,3,4,5],[10,25,30,50,80])==True
  assert generate_dashboard([1.5,2.5,3.5,4.5,5.5],[15,29,38,47,90])==True
  assert generate_dashboard([5,4,3,2,1],[80,50,30,25,10])==True
  assert generate_dashboard([],[])==True
output: def generate_dashboard(x, y):
      if not x and not y:
          return True
      try:
          import matplotlib.pyplot as plt
          plt.plot(x, y)
          plt.show()
          return True
      except:
          return False