input: 
  def visualize_data(x: list, y: list, title: str, x_label: str, y_label: str, figsize: tuple) -> None:
      """ Create a Matplotlib-based data visualization dashboard with the given data, title, axis labels, and figure size.
      >>> visualize_data([1, 2, 3, 4, 5], [10, 25, 30, 50, 80], "My Data Visualization Dashboard", "X-axis", "Y-axis", (10, 6))
      # A plot is displayed with the provided data and settings.
      """
      import matplotlib.pyplot as plt
      
      # Create the figure and set the size
      fig = plt.figure(figsize=figsize)
      
      # Configure the plot
      plt.plot(x, y, color='green', marker='o', linestyle='dashed', linewidth=2, markersize=12)
      plt.title(title)
      plt.xlabel(x_label)
      plt.ylabel(y_label)
      
      # Show the plot
      plt.show()
  
output:     # Add grid for better visualization
      plt.grid(True)
      
      # Add a legend
      plt.legend(["Data"], loc="upper left")
      
      # Adjust layout to prevent clipping of labels
      plt.tight_layout()