Market Basket Analysis

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Description

The dataset is an extract from this survey. It consists of 14 demographic attributes. The dataset is a good mixture of categorical and continuos variables with a lot of missing data. This is characteristic for data mining applications.

Usage

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Format

A data frame with 8993 observations on the following 14 variables.

Income

ANNUAL INCOME OF HOUSEHOLD (PERSONAL INCOME IF SINGLE) 1. Less than \$10,000 2. \$10,000 to \$14,999 3. \$15,000 to \$19,999 4. \$20,000 to \$24,999 5. \$25,000 to \$29,999 6. \$30,000 to \$39,999 7. \$40,000 to \$49,999 8. \$50,000 to \$74,999 9. \$75,000 or more

Sex

1. Male 2. Female

Marital

1. Married 2. Living together, not married 3. Divorced or separated 4. Widowed 5. Single, never married

Age

1. 14 thru 17 2. 18 thru 24 3. 25 thru 34 4. 35 thru 44 5. 45 thru 54 6. 55 thru 64 7. 65 and Over

Edu

1. Grade 8 or less 2. Grades 9 to 11 3. Graduated high school 4. 1 to 3 years of college 5. College graduate 6. Grad Study

Occupation

1. Professional/Managerial 2. Sales Worker 3. Factory Worker/Laborer/Driver 4. Clerical/Service Worker 5. Homemaker 6. Student, HS or College 7. Military 8. Retired 9. Unemployed

Lived

HOW LONG HAVE YOU LIVED IN THE SAN FRAN./OAKLAND/SAN JOSE AREA? 1. Less than one year 2. One to three years 3. Four to six years 4. Seven to ten years 5. More than ten years

Dual_Income

DUAL INCOMES (IF MARRIED) 1. Not Married 2. Yes 3. No

Household

PERSONS IN YOUR HOUSEHOLD 1. One 2. Two 3. Three 4. Four 5. Five 6. Six 7. Seven 8. Eight 9. Nine or more

Householdu18

PERSONS IN HOUSEHOLD UNDER 18 0. None 1. One 2. Two 3. Three 4. Four 5. Five 6. Six 7. Seven 8. Eight 9. Nine or more

Status

HOUSEHOLDER STATUS 1. Own 2. Rent 3. Live with Parents/Family

Home_Type

1. House 2. Condominium 3. Apartment 4. Mobile Home 5. Other

Ethnic

1. American Indian 2. Asian 3. Black 4. East Indian 5. Hispanic 6. Pacific Islander 7. White 8. Other

Language

WHAT LANGUAGE IS SPOKEN MOST OFTEN IN YOUR HOME? 1. English 2. Spanish 3. Other

Details

The goal is to predict the Anual Income of Household from the other 13 demographics attributes.

Number of instances: 8993.

These are obtained from the original dataset with 9409 instances, by removing those observations with the response (Annual Income) missing.

Source

Source: Impact Resources, Inc., Columbus, OH (1987). A total of N=9409 questionnaires containg 502 questions were filled out by shopping mall customers in the San Francisco Bay area.

Examples

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