input: 
  from typing import List, Dict
  
  def visualize_dashboard(data: List[Dict[str, float]], title: str, x_label: str, y_label: str, figsize: tuple = (10, 6)) -> None:
      """
      Create a data visualization dashboard using Matplotlib. The input data is a list of dictionaries,
      where each dictionary contains the x and y values to be plotted. The function will plot the data
      with specified title, axis labels, and figure size.
      
      >>> visualize_dashboard([{'x': 1, 'y': 10}, {'x': 2, 'y': 25}, {'x': 3, 'y': 30}, {'x': 4, 'y': 50}, {'x': 5, 'y': 80}], "My Data Visualization Dashboard", "X-axis", "Y-axis")
      # Will display a plot with the specified title and axis labels, using the provided data points.
      """
      import matplotlib.pyplot as plt
      
      x_values = [item['x'] for item in data]
      y_values = [item['y'] for item in data]
      
      fig = plt.figure(figsize=figsize)
      plt.plot(x_values, y_values, color='green', marker='o', linestyle='dashed', linewidth=2, markersize=12)
      plt.title(title)
      plt.xlabel(x_label)
      plt.ylabel(y_label)
      plt.show()
  
output:     import matplotlib.pyplot as plt
      
      x_values = [item['x'] for item in data]
      y_values = [item['y'] for item in data]
      
      fig = plt.figure(figsize=figsize)
      plt.plot(x_values, y_values, color='green', marker='o', linestyle='dashed', linewidth=2, markersize=12)
      plt.title(title)
      plt.xlabel(x_label)
      plt.ylabel(y_label)
      plt.show()