input: Write a function to visually summarize the Twitter data using matplotlib. The function should process the Twitter data to extract relevant data fields such as tweet authors, date of tweet, text, number of likes, and number of retweets. It should then plot the number of tweets per author, the number of likes per tweet, and the number of retweets per tweet.
  
  def visualize_twitter_data(twitter_data):
      import matplotlib.pyplot as plt
      
      # Process the Twitter data to extract the relevant data fields
      authors = [tweet['author'] for tweet in twitter_data]
      num_tweets = [authors.count(author) for author in 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]
  
      # Plot the tweet authors
      plt.xlabel('Tweet Authors')
      plt.ylabel('Number of tweets')
      plt.title('Tweet Author Summary')
      plt.bar(set(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()
  
  # Example usage:
  twitter_data = [
      {"author": "User1", "text": "Hello", "likes": 10, "retweets": 5},
      {"author": "User2", "text": "Hi", "likes": 15, "retweets": 3},
      {"author": "User1", "text": "Greetings", "likes": 20, "retweets": 7},
      {"author": "User3", "text": "Bye", "likes": 5, "retweets": 2}
  ]
  
  visualize_twitter_data(twitter_data)
output: def visualize_twitter_data(twitter_data):
      import matplotlib.pyplot as plt
      
      # Process the Twitter data to extract the relevant data fields
      authors = [tweet['author'] for tweet in twitter_data]
      num_tweets = [authors.count(author) for author in 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]
  
      # Plot the tweet authors
      plt.xlabel('Tweet Authors')
      plt.ylabel('Number of tweets')
      plt.title('Tweet Author Summary')
      plt.bar(set(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()