PURCHASE: PURCHASE data
In regclass: Tools for an Introductory Class in Regression and Modeling

Purchase habits of customers

1	data("PURCHASE")

A data frame with 27723 observations on the following 6 variables.

Purchase: a factor with levels Buy No, whether the customer made a purchase in the following 30 days
Visits: a numeric vector, number of visits customer has made to the chain in last 90 days
Spent: a numeric vector, amount of money customer has spent at the chain the last 90 days
PercentClose: a numeric vector, the percentage of customers' purchases that occur within 5 miles of their home
Closest: a numeric vector, the distance between the customer's home and the nearest store in the chain
CloseStores: a numeric vector, the number of stores in the chain within 5 miles of the customer's home

A nation-wide chain is curious as to whether it can predict whether a former customer will make a purchase at one of its stores in the next 30 days based on the customer's spending habits. Some variables are known by the chain (e.g., Visits) and some are available to purchase from credit card companies (e.g., PercentClose). Is purchasing additional information about the customer worth it?

Adapted from real data on the condition that neither the name of the chain nor other parties be disclosed.

regclass documentation built on March 26, 2020, 8:02 p.m.