input: Write a function to visually summarize the Twitter data using Matplotlib. The function should process the Twitter data, extract relevant fields like tweet author, date of tweet, text, number of likes, and number of retweets, and then create bar plots showing the number of tweets per author, the number of likes per tweet, and the number of retweets per tweet.
  
  def summarize_twitter_data(twitter_data):
      import matplotlib.pyplot as plt
      
      # Process the Twitter data to extract the relevant data fields
      # ...
      
      # Plot the tweet authors
      plt.xlabel('Tweet Authors')
      plt.ylabel('Number of tweets')
      plt.title('Tweet Author Summary')
      plt.bar(authors, num_tweets)
      plt.show()
      
      # Plot the number of likes
      plt.xlabel('Tweets')
      plt.ylabel('Number of Likes')
      plt.title('Number of Likes Summary')
      plt.bar(tweets, num_likes)
      plt.show()
      
      # Plot the number of retweets
      plt.xlabel('Tweets')
      plt.ylabel('Number of Retweets')
      plt.title('Number of Retweets Summary')
      plt.bar(tweets, num_retweets)
      plt.show()
  
  assert summarize_twitter_data(twitter_data_stream) == None # The function doesn't return anything, it just plots the data
output: def summarize_twitter_data(twitter_data):
      import matplotlib.pyplot as plt
      
      authors = [tweet['author'] for tweet in twitter_data]
      num_tweets = [authors.count(author) for author in set(authors)]
      unique_authors = list(set(authors))
      
      tweets = [tweet['text'] for tweet in twitter_data]
      num_likes = [tweet['likes'] for tweet in twitter_data]
      num_retweets = [tweet['retweets'] for tweet in twitter_data]
      
      plt.figure(1)
      plt.xlabel('Tweet Authors')
      plt.ylabel('Number of tweets')
      plt.title('Tweet Author Summary')
      plt.bar(unique_authors, num_tweets)
      plt.xticks(rotation=45)
      plt.show()
      
      plt.figure(2)
      plt.xlabel('Tweets')
      plt.ylabel('Number of Likes')
      plt.title('Number of Likes Summary')
      plt.bar(tweets, num_likes)
      plt.xticks(rotation=90)
      plt.show()
      
      plt.figure(3)
      plt.xlabel('Tweets')
      plt.ylabel('Number of Retweets')
      plt.title('Number of Retweets Summary')
      plt.bar(tweets, num_retweets)
      plt.xticks(rotation=90)
      plt.show()