input: Write a function to create a data visualization dashboard in Python using Matplotlib. The function should generate data, configure the plot with specific settings, and display it.
  assert create_dashboard()
  assert isinstance(create_dashboard(), matplotlib.figure.Figure)
  assert create_dashboard().get_size_inches() == (10, 6)
  assert create_dashboard().get_axes()[0].get_title() == "My Data Visualization Dashboard"
  assert create_dashboard().get_axes()[0].get_xlabel() == 'X-axis'
  assert create_dashboard().get_axes()[0].get_ylabel() == 'Y-axis'
output: def create_dashboard():
      import matplotlib.pyplot as plt
      import numpy as np
      
      fig, ax = plt.subplots(figsize=(10, 6))
      
      x = np.linspace(0, 10, 100)
      y = np.sin(x)
      
      ax.plot(x, y)
      ax.set_title("My Data Visualization Dashboard")
      ax.set_xlabel('X-axis')
      ax.set_ylabel('Y-axis')
      
      plt.show()
      return fig