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# let us load the modules

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# lets load the dataset

df = pd.read_csv('telco_churn.csv')
#lets preview

df.head()
# DONE
# lets do the routine structure check!!!

df.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 7043 entries, 0 to 7042 Data columns (total 21 columns): customerID 7043 non-null object gender 7043 non-null object SeniorCitizen 7043 non-null int64 Partner 7043 non-null object Dependents 7043 non-null object tenure 7043 non-null int64 PhoneService 7043 non-null object MultipleLines 7043 non-null object InternetService 7043 non-null object OnlineSecurity 7043 non-null object OnlineBackup 7043 non-null object DeviceProtection 7043 non-null object TechSupport 7043 non-null object StreamingTV 7043 non-null object StreamingMovies 7043 non-null object Contract 7043 non-null object PaperlessBilling 7043 non-null object PaymentMethod 7043 non-null object MonthlyCharges 7043 non-null float64 TotalCharges 7043 non-null object Churn 7043 non-null object dtypes: float64(1), int64(2), object(18) memory usage: 660.3+ KB