|
--- |
|
license: cc-by-4.0 |
|
--- |
|
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) |
|
|
