adult: The Adult dataset

In gmonette/spida15: Collection of miscellaneous functions for mixed models etc. prepared for SPIDA 2009+ (development version)

Description

This dataset contains census data and is available from the UCI Machine Learning Repository. There are three variables with missing values.

Usage

data(adult)

Format

A data frame with 48842 observations on the following 14 variables.

V1

age: continuous variable

V2

workclass: nominal variable

V3

fnlwgt: continuous variable

V4

education: nominal variable

V5

marital-status: nominal variable

V6

occupation: nominal variable

V7

relationship: nominal variable

V8

race: nominal variable

V9

sex: nominal variable

V10

capital-gain: continuous variable

V11

capital-loss: continuous variable

V12

hours-per-week: continuous variable

V13

native-country: nominal variable

V14

Income class: nominal variable

Details

The values of the nominal attributes are as follows:

workclass: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked.
education: Preschool, 1st-4th, 5th-6th, 7th-8th, 9th, 10th, 11th, 12th, HS-grad, Some-college, Assoc-voc, Assoc-acdm, Bachelors, Masters, Prof-school, Doctorate
marital-status: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse.
occupation: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers -cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces.
relationship: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried.
race: White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black.
sex: Female, Male.
native-country: United-States, Cambodia, England, Puerto-Rico, Canada, Germany, Outlying- US (Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican-Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&Tobago, Peru, Hong, Holand-Netherlands.
Income class: >50K, <=50K.

Source

The UCI Machine Learning Database Repository at:
http://archive.ics.uci.edu/ml/

Examples

data(adult)
summary(adult)

gmonette/spida15 documentation built on May 17, 2019, 7:26 a.m.