credit: Credit ratings on personal loans from an Australian bank.

In fpp: Data for "Forecasting: principles and practice"

Description

A random sample of 500 observations of customers applying for personal loans at an Australian bank. All customers were 25 years old or under.

Usage

data(credit)

Format

A data frame with 500 observations on the following 7 variables.

score

a numeric vector giving the credit scores calculated by the bank on a scale from 0 to 100.

savings

a numeric vector giving the total personal savings of each customer (in thousands of $).

income

a numeric vector giving the total net income of each customer (in thousands of $).

fte

TRUE if the customer has full time employment, and FALSE otherwise.

single

TRUE if the customer is single, and FALSE otherwise.

time.address

a numeric vector giving the number of months each customer has lived at their current address.

time.employed

a numeric vector giving the number of months each customer has been with their current employer.

Examples

data(credit)

Example output

Loading required package: forecast
Loading required package: fma
Loading required package: expsmooth
Loading required package: lmtest
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

    as.Date, as.Date.numeric

Loading required package: tseries

fpp documentation built on May 2, 2019, 6:34 a.m.