text: import pandas as pd
  import numpy as np
  import matplotlib.pyplot as plt
  import seaborn as sns
  
  from sklearn import preprocessing
  from sklearn.impute import SimpleImputer
  
  
  
  data = pd.read_csv(r"C:\Users\Devis Patel\AppData\Local\Programs\Python\Python37\Programs\Assignment Programs\Day 7\Data Set\horse.csv")
  
  print("\n \n The data in HORSE.CSV  file are successfully loaded. \n \n")
  
  file=pd.DataFrame(data)
  
  file1=file.iloc[:]
  
  imp = SimpleImputer(strategy="most_frequent")
  
  imp2=imp.fit_transform(file1)
  
  print(imp2)      
  
  
  imp3=pd.DataFrame(imp2)
  
  imp3.to_csv(r"C:\Users\Devis Patel\AppData\Local\Programs\Python\Python37\Programs\Assignment Programs\Day 7\Data Set\horse.csv",)
  
  print("\n \n Data successfully updated. \n \n ")
  