PURCHASE: PURCHASE data

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

PURCHASE data

Description

Purchase habits of customers

Usage

data("PURCHASE")

Format

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

Details

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?

Source

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

regclass documentation built on June 8, 2025, 12:40 p.m.