#Loading Libraries
import pandas as pd
import numpy as np
from sklearn.impute import SimpleImputer
#Creating dataset
data = pd.DataFrame({'SocialApps':['facebook', 'whatsapp',
'instagram', 'facebook', np.nan]})
# Creating a SimpleImputer object
imp = SimpleImputer(strategy='most_frequent')
"""" Impute the missing values in the 'SocialApps'
column of the 'data' DataFrame"""
# Fitting transform
data['SocialApps'] = imp.fit_transform(data[['SocialApps']])
#Printing result
print(data['SocialApps'])