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kernlab (version 0.9-33)

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:

1INCOMEannual income of household
(Personal income if single)ordinal
2SEXsexnominal
3MARITAL.STATUSmarital statusnominal
4AGEageordinal
5EDUCATIONeducational gradeordinal
6OCCUPATIONtype of worknominal
7AREAhow long the interviewed person has lived
in the San Francisco/Oakland/San Jose areaordinal
8DUAL.INCOMESdual incomes (if married)nominal
9HOUSEHOLD.SIZEpersons living in the householdordinal
10UNDER18persons in household under 18ordinal
11HOUSEHOLDERhouseholder statusnominal
12HOME.TYPEtype of homenominal
13ETHNIC.CLASSethnic classificationnominal
14LANGUAGElanguage most often spoken at homenominal

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.