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| license: cc-by-4.0 |
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| 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. |
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| Content |
| Each row represents a customer, each column contains customer’s attributes described on the column metadata. |
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| The data set includes information about: |
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| - 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 |
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| 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) |
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