input: def create_data_visualization_dashboard(x_values, y_values, title='My Data Visualization Dashboard', xlabel='X-axis', ylabel='Y-axis', figsize=(10,6), color='green', marker='o', linestyle='dashed', linewidth=2, markersize=12):
      """
      Create a data visualization dashboard using Matplotlib.
      This function generates a plot with given x and y values, sets the plot
      title, labels for x and y axes, and specifies the size of the figure.
      The plot's color, marker style, line style, line width, and marker size 
      can also be customized.
      
      >>> create_data_visualization_dashboard([1,2,3,4,5], [10,25,30,50,80], \
      'Monthly Sales Report', 'Months', 'Sales in thousands', color='blue', \
      marker='s')
      """
      import matplotlib.pyplot as plt
  
      fig = plt.figure(figsize=figsize)
      plt.plot(x_values, y_values, color=color, marker=marker, linestyle=linestyle, linewidth=linewidth, markersize=markersize)
      plt.title(title)
      plt.xlabel(xlabel)
      plt.ylabel(ylabel)
      plt.show()
output:     return fig