code: """
  DATA DESCRIPTION
  
  sentiment140 dataset. It contains 1,600,000 tweets extracted using the twitter api . The tweets have been annotated (0 = negative, 4 = positive) and they can be used to detect sentiment .
  
  It contains the following 6 fields:
  
  target: the polarity of the tweet (0 = negative, 2 = neutral, 4 = positive)
  ids: The id of the tweet ( 2087)
  date: the date of the tweet (Sat May 16 23:58:44 UTC 2009)
  flag: The query (lyx). If there is no query, then this value is NO_QUERY.
  user: the user that tweeted (robotickilldozr)
  text: the text of the tweet (Lyx is cool)
  
  """
  
  #import libraries
  import pandas as pd
  
  data = pd.read_csv('training.1600000.processed.noemoticon.csv',encoding = 'latin', header=None, nrows=25)
  
  #Adding header to data
  data = data.rename(columns={0: 'target', 1: 'id', 2: 'TimeStamp', 3: 'query', 4: 'username', 5: 'content'})
  
  #Dropping unncessary columns
  data.drop(['id','TimeStamp','query'], axis=1, inplace=True)
  
  
  print(data.to_string())
  
apis: pandas.read_csv