income: Income Data

In kernlab: Kernel-Based Machine Learning Lab

Income Data

Description

Customer Income Data from a marketing survey.

Usage

data(income)

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

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.

Source

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

kernlab documentation built on Sept. 12, 2024, 6:51 a.m.