Customer churn prediction dataset of a fictional telecommunication company made by IBM Sample Datasets.
Context
Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs.

Content
Each row represents a customer, each column contains customer’s attributes described on the column metadata.

The data set includes information about:

- Customers who left within the last month: the column is called Churn
- Services that each customer has signed up for: phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV and movies
- Customer account information: how long they’ve been a customer, contract, payment method, paperless billing, monthly charges, and total charges
- Demographic info about customers: gender, age range, and if they have partners and dependents


Credits for the dataset and the card:
- [Kaggle](https://www.kaggle.com/datasets/blastchar/telco-customer-churn)
- [Latest version of the dataset by IBM Samples team](https://community.ibm.com/community/user/businessanalytics/blogs/steven-macko/2019/07/11/telco-customer-churn-1113)

license:cc-by-4.0 region:us
{"license": "cc-by-4.0"}
TAGS
#license-cc-by-4.0 #region-us 

Customer churn prediction dataset of a fictional telecommunication company made by IBM Sample Datasets.
Context
Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs.

Content
Each row represents a customer, each column contains customer’s attributes described on the column metadata.

The data set includes information about:

- Customers who left within the last month: the column is called Churn
- Services that each customer has signed up for: phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV and movies
- Customer account information: how long they’ve been a customer, contract, payment method, paperless billing, monthly charges, and total charges
- Demographic info about customers: gender, age range, and if they have partners and dependents


Credits for the dataset and the card:
- Kaggle
- Latest version of the dataset by IBM Samples team

TAGS
#license-cc-by-4.0 #region-us 

passage: TAGS
#license-cc-by-4.0 #region-us 
