churnTel | R Documentation |
Customer churn occurs when customers stop doing business with a company, also known as customer attrition. the data set contains 7043
rows (customers) and 21
columns (features). the "Churn" column is our target which indicate whether customer churned (left the company) or not.
data(churnTel)
the churnTel
dataset, as a data frame, contains 7043
rows (customers) and 21
columns (variables/features). the 21
variables are:
customer.ID
: Customer ID.
gender
: Whether the customer is a male or a female.
senior.citizen
: Whether the customer is a senior citizen or not (1, 0).
partner
: Whether the customer has a partner or not (yes, no).
dependent
: Whether the customer has dependents or not (yes, no).
tenure
: Number of months the customer has stayed with the company.
phone.service
: Whether the customer has a phone service or not (yes, no).
multiple.lines
: Whether the customer has multiple lines or not (yes, no, no phone service).
internet.service
: Customer's internet service provider (DSL, fiber optic, no).
online.security
: Whether the customer has online security or not (yes, no, no internet service).
online.backup
: Whether the customer has online backup or not (yes, no, no internet service).
device.protection
: Whether the customer has device protection or not (yes, no, no internet service).
tech.support
: Whether the customer has tech support or not (yes, no, no internet service).
streaming.TV
: Whether the customer has streaming TV or not (yes, no, no internet service).
streaming.movie
: Whether the customer has streaming movies or not (yes, no, no internet service).
contract
: the contract term of the customer (month to month, 1 year, 2 year).
paperless.bill
: Whether the customer has paperless billing or not (yes, no).
payment.method
: the customer's payment method (electronic check, mail check, bank transfer, credit card).
monthly.charge
: the amount charged to the customer monthly.
total.charges
: the total amount charged to the customer.
churn
: Whether the customer churned or not (yes or no).
For more information related to the dataset see:
https://www.kaggle.com/blastchar/telco-customer-churn
adult
, risk
, churn
, bank
, advertising
, marketing
, insurance
, cereal
, housePrice
, house
data(churnTel)
str(churnTel)
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