input: 
  def summarize_twitter_data(tweets):
      """ Visually summarize the provided Twitter data by plotting the tweet authors, 
      number of likes, and number of retweets. The Twitter data is a list of tuples, 
      where each tuple contains: (tweet author, date of tweet, text, number of likes, 
      number of retweets).
      >>> summarize_twitter_data([('user1', '2023-10-01', 'Hello World', 10, 5), 
                                  ('user2', '2023-10-01', 'Another tweet', 20, 8), 
                                  ('user1', '2023-10-02', 'Good morning', 15, 7)])
      # Displays three bar charts summarizing tweet authors, number of likes, and number of retweets
      """
  
      import matplotlib.pyplot as plt
  
      # Process the Twitter data to extract the relevant data fields
      authors = [tweet[0] for tweet in tweets]
      likes = [tweet[3] for tweet in tweets]
      retweets = [tweet[4] for tweet in tweets]
  
      # Plot the tweet authors
      plt.xlabel('Tweet Authors')
      plt.ylabel('Number of tweets')
      plt.title('Tweet Author Summary')
      plt.bar(authors, [likes.count(like) for like in likes])
      plt.show()
  
      # Plot the number of likes
      plt.xlabel('Tweets')
      plt.ylabel('Number of Likes')
      plt.title('Number of Likes Summary')
      plt.bar([t[2] for t in tweets], likes)
      plt.show()
  
      # Plot the number of retweets
      plt.xlabel('Tweets')
      plt.ylabel('Number of Retweets')
      plt.title('Number of Retweets Summary')
      plt.bar([t[2] for t in tweets], retweets)
      plt.show()
  
output:     # Plot the number of likes
      plt.xlabel('Tweets')
      plt.ylabel('Number of Likes')
      plt.title('Number of Likes Summary')
      plt.bar([t[2] for t in tweets], likes)
      plt.show()
  
      # Plot the number of retweets
      plt.xlabel('Tweets')
      plt.ylabel('Number of Retweets')
      plt.title('Number of Retweets Summary')
      plt.bar([t[2] for t in tweets], retweets)
      plt.show()