input: Write a function to create a data visualization dashboard in Python using Matplotlib. Return the generated figure.
  def create_dashboard():
      import matplotlib
      import matplotlib.pyplot as plt
  
      # Generate the data for the dashboard
      x = [1,2,3,4,5]
      y = [10,25,30,50,80]
  
      # 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')
  
      return fig
  
  assert create_dashboard().get_size() == (10,6)
  assert create_dashboard().get_axes()[0].get_title() == "My Data Visualization Dashboard"
output: def create_dashboard():
      import matplotlib
      import matplotlib.pyplot as plt
  
      x = [1,2,3,4,5]
      y = [10,25,30,50,80]
  
      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')
  
      return fig