input: Write a function to generate a data visualization dashboard using Matplotlib. The function should create a plot with a given set of data points, set the title and axis labels, and display the plot. If the input data is invalid or empty, the function should handle it gracefully and return a message indicating the issue.
  assert generate_dashboard([[1, 2, 3, 4, 5], [10, 25, 30, 50, 80]])==True
  assert generate_dashboard([[], []])==False
  assert generate_dashboard([[1, 2, 3], [10, 20]])==False
  assert generate_dashboard([[1, 2, 3, 4], [10, 20, 30, 40]])==True
  assert generate_dashboard([])==False
output: 
  def generate_dashboard(data):
      if not data or not all(data):
          return False
      if len(data[0]) != len(data[1]):
          return False
      try:
          import matplotlib.pyplot as plt
          plt.plot(data[0], data[1])
          plt.title('Data Visualization Dashboard')
          plt.xlabel('X-axis')
          plt.ylabel('Y-axis')
          plt.show()
          return True
      except Exception as e:
          return False
  