input: Write a function to create a data visualization dashboard in Python using Matplotlib. The function should take two lists as input: one for the x-axis and one for the y-axis. It should then create a plot with these data points, configure the plot with a title and axis labels, and display the plot. If the input lists are empty, the function should return False.
  
  def create_data_viz_dashboard(x, y):
      if not x or not y:
          return False
      import matplotlib.pyplot as plt
      fig = plt.figure(figsize=(10,6))
      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')
      plt.show()
      return True
  
  # Test cases
  assert create_data_viz_dashboard([1,2,3,4,5], [10,25,30,50,80]) == True
  assert create_data_viz_dashboard([], [10,25,30,50,80]) == False
  assert create_data_viz_dashboard([1,2,3,4,5], []) == False
  assert create_data_viz_dashboard([], []) == False
output: def create_data_viz_dashboard(x, y):
      if not x or not y:
          return False
      import matplotlib.pyplot as plt
      fig = plt.figure(figsize=(10,6))
      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')
      plt.show()
      return True