Datasets:
Tags:
License:
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) | |