text: import numpy as np
  import pandas as pd
  import re, math
  from collections import Counter
  
  df = pd.read_csv('richCityData.csv')
  
  class DataExaminor:
      def __init__(self):
          print("examinor initialized")
  
      @staticmethod
      def top_25_words():
          merged_string = ''
  
          for index, row in df.iterrows():
              merged_string += row['description']
  
          merged_words = re.compile(r"[\w']+").findall(merged_string)
  
          counted_words = Counter(merged_words)
  
          removal_list = []
  
          #Words manually examined and top 25 words are identified as non contextual.
          for i in counted_words.most_common(25):
              removal_list.append(i[0])
  
          return removal_list
  