CUSTCHURN: CUSTCHURN dataset
In profpetrie/regclass: Tools for an Introductory Class in Regression and Modeling

Customer database describing customer churn (adapted from a former case study)

1	data("CUSTCHURN")

A data frame with 500 observations on the following 11 variables.

Duration: a numeric vector giving the days that the company was considered a customer. Note: censored at 730 days, which is the value for someone who is currently a customer (not churned)
Churn: a factor with levels N Y giving whether the customer has churned or not
RetentionCost: a numeric vector giving the average amount of money spent per year to retain the individual or company as a customer
EBiz: a factor with levels No Yes giving whether the customer was an e-business or not
CompanyRevenue: a numeric vector giving the company's revenue
CompanyEmployees: a numeric vector giving the number of employees working for the company
Categories: a numeric vector giving the number of product categories from which customer made a purchase of their lifetime
NumPurchases: a numeric vector giving the total amount of purchases over the customer's lifetime

Each row corresponds to a customer of a Fortune 500 company. These customers are businesses, which may or may not exclusively be an e-business. Whether a customer is still a customer (or has churned) after 730 days is recorded.

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profpetrie/regclass documentation built on May 26, 2019, 8:33 a.m.