Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,21 @@
|
|
| 1 |
---
|
| 2 |
license: cc-by-4.0
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: cc-by-4.0
|
| 3 |
---
|
| 4 |
+
Customer churn prediction dataset of a fictional telecommunication company made by IBM Sample Datasets.
|
| 5 |
+
Context
|
| 6 |
+
Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs.
|
| 7 |
+
|
| 8 |
+
Content
|
| 9 |
+
Each row represents a customer, each column contains customer’s attributes described on the column metadata.
|
| 10 |
+
|
| 11 |
+
The data set includes information about:
|
| 12 |
+
|
| 13 |
+
- Customers who left within the last month: the column is called Churn
|
| 14 |
+
- 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
|
| 15 |
+
- Customer account information: how long they’ve been a customer, contract, payment method, paperless billing, monthly charges, and total charges
|
| 16 |
+
- Demographic info about customers: gender, age range, and if they have partners and dependents
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
Credits for the dataset and the card:
|
| 20 |
+
- [Kaggle](https://www.kaggle.com/datasets/blastchar/telco-customer-churn)
|
| 21 |
+
- [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)
|