input: def create_data_visualization_dashboard(data):
      """ Create a data visualization dashboard using Matplotlib. The function takes a dictionary of data points 
      where keys are the x-values and values are the corresponding y-values. The dashboard will plot these 
      values with specific configurations including color, marker style, line style, and title.
      
      >>> create_data_visualization_dashboard({'1': 10, '2': 25, '3': 30, '4': 50, '5': 80})
      (shows the plot with x-values 1, 2, 3, 4, 5 and corresponding y-values 10, 25, 30, 50, 80)
      """
      import matplotlib.pyplot as plt
      
      x = list(data.keys())
      y = list(data.values())
      
      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')
      plt.show()
output:     import matplotlib.pyplot as plt
      
      x = list(data.keys())
      y = list(data.values())
      
      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')
      plt.show()