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customerID
stringlengths
10
10
gender
stringclasses
2 values
SeniorCitizen
int64
0
0
Partner
stringclasses
2 values
Dependents
stringclasses
2 values
tenure
int64
0
62
PhoneService
stringclasses
2 values
InternetService
stringclasses
3 values
Contract
stringclasses
2 values
PaperlessBilling
stringclasses
2 values
PaymentMethod
stringclasses
4 values
MonthlyCharges
float64
19
105
TotalCharges
float64
0
3.49k
Churn
stringclasses
2 values
7590-VHVEG
Female
0
Yes
No
1
No
DSL
Month-to-month
Yes
Electronic check
29.85
29.85
No
5575-GNVDE
Male
0
No
No
34
Yes
DSL
One year
No
Mailed check
56.95
1,889.5
No
3668-QPYBK
Male
0
No
No
2
Yes
DSL
Month-to-month
Yes
Mailed check
53.85
108.15
Yes
7795-CFOCW
Male
0
No
No
45
No
DSL
One year
No
Bank transfer (automatic)
42.3
1,840.75
No
9237-HQITU
Female
0
No
No
2
Yes
Fiber optic
Month-to-month
Yes
Electronic check
70.7
151.65
Yes
9305-CDSKC
Female
0
No
No
8
Yes
Fiber optic
Month-to-month
Yes
Electronic check
99.65
820.5
Yes
1452-KNGVK
Male
0
No
Yes
22
Yes
Fiber optic
Month-to-month
Yes
Credit card (automatic)
89.1
1,949.4
No
6713-OKOMC
Female
0
No
No
10
No
DSL
Month-to-month
Yes
Mailed check
29.75
301.9
No
7892-POOKP
Female
0
Yes
No
28
Yes
Fiber optic
Month-to-month
No
Electronic check
104.8
3,046.05
Yes
6388-TABGU
Male
0
No
Yes
62
Yes
DSL
One year
No
Bank transfer (automatic)
56.15
3,487.95
No
9763-GRSKD
Male
0
Yes
Yes
13
Yes
DSL
Month-to-month
No
Mailed check
49.95
587.45
No
7469-LKBCI
Male
0
No
No
0
Yes
No
Month-to-month
Yes
Electronic check
18.95
0
No
8091-TTVAX
Male
0
No
No
0
Yes
Fiber optic
Month-to-month
Yes
Electronic check
100.35
0
No
6253-ECROA
Female
0
No
No
3
Yes
Fiber optic
Month-to-month
Yes
Credit card (automatic)
99.1
269.35
No

Telco Customer Churn

This dataset contains anonymized customer account records from a telecommunications provider, capturing demographic attributes, subscribed services, account tenure, billing details, and churn status. It is well suited for supervised binary classification tasks aimed at predicting whether a customer will churn (leave the service), as well as for exploratory analysis of customer retention drivers. Each row represents a unique customer account; the target variable is Churn, and all other fields can be used as features for modeling.

Column descriptions

Column Description
customerID Unique identifier for each customer account.
gender Gender of the customer (Male / Female).
SeniorCitizen Whether the customer is a senior citizen (1 = yes, 0 = no).
Partner Whether the customer has a partner (Yes / No).
Dependents Whether the customer has dependents (Yes / No).
tenure Number of months the customer has stayed with the company.
PhoneService Whether the customer has phone service (Yes / No).
InternetService Type of internet service subscribed: DSL, Fiber optic, or No (no internet service).
Contract Type of contract: Month-to-month, One year, or Two year.
PaperlessBilling Whether the customer uses paperless billing (Yes / No).
PaymentMethod Payment method used: Electronic check, Mailed check, Bank transfer (automatic), or Credit card (automatic).
MonthlyCharges Amount charged to the customer per month.
TotalCharges Total amount charged to the customer over the entire account lifetime.
Churn Whether the customer churned (Yes / No); target variable.
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