income: Income Data

Description

Customer Income Data from a marketing survey.

Usage

data(income)

Arguments

Format

A data frame with 14 categorical variables (8993 observations). Explanation of the variable names:

	1	`INCOME`	annual income of household

(Personal income if single)	ordinal		2
`SEX`	sex	nominal
3	`MARITAL.STATUS`	marital status	nominal
	4	`AGE`	age
ordinal		5	`EDUCATION`
educational grade	ordinal		6
`OCCUPATION`	type of work	nominal
7	`AREA`	how long the interviewed person has lived
			in the San Francisco/Oakland/San Jose area
ordinal		8	`DUAL.INCOMES`
dual incomes (if married)	nominal		9
`HOUSEHOLD.SIZE`	persons living in the household	ordinal
10	`UNDER18`	persons in household under 18	ordinal
	11	`HOUSEHOLDER`	householder status
nominal		12	`HOME.TYPE`
type of home	nominal		13
`ETHNIC.CLASS`	ethnic classification	nominal
14	`LANGUAGE`	language most often spoken at home	nominal

Source

Impact Resources, Inc., Columbus, OH (1987).

Details

A total of N=9409 questionnaires containing 502 questions were filled out by shopping mall customers in the San Francisco Bay area. The dataset is an extract from this survey. It consists of 14 demographic attributes. The dataset is a mixture of nominal and ordinal variables with a lot of missing data. The goal is to predict the Anual Income of Household from the other 13 demographics attributes.