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dprep (version 3.0.2)

census: census

Description

This is the census (also known as adult) dataset. It is used to predict the salary of a person based on socio-demographis and economic predictors.

Usage

data("census")

Arguments

Format

A data frame with 32561 observations on the following 15 variables.
age
a numeric vector
employment
a factor with levels Federal-gov Local-gov Never-worked Private Self-emp-inc Self-emp-not-inc State-gov Without-pay
a3
a numeric vector
education
a factor with levels 10th 11th 12th 1st-4th 5th-6th 7th-8th 9th Assoc-acdm Assoc-voc Bachelors Doctorate HS-grad Masters Preschool Prof-school Some-college
education.num
a numeric vector
marital.status
a factor with levels Divorced Married-AF-spouse Married-civ-spouse Married-spouse-absent Never-married Separated Widowed
job
a factor with levels Adm-clerical Armed-Forces Craft-repair Exec-managerial Farming-fishing Handlers-cleaners Machine-op-inspct Other-service Priv-house-serv Prof-specialty Protective-serv Sales Tech-support Transport-moving
relationship
a factor with levels Husband Not-in-family Other-relative Own-child Unmarried Wife
race
a factor with levels Amer-Indian-Eskimo Asian-Pac-Islander Black Other White
gender
a factor with levels Female Male
a11
a numeric vector
a12
a numeric vector
hours.per.week
a numeric vector
native.country
a factor with levels Cambodia Canada China Columbia Cuba Dominican-Republic Ecuador El-Salvador England France Germany Greece Guatemala Haiti Holand-Netherlands Honduras Hong Hungary India Iran Ireland Italy Jamaica Japan Laos Mexico Nicaragua Outlying-US(Guam-USVI-etc) Peru Philippines Poland Portugal Puerto-Rico Scotland South Taiwan Thailand Trinadad&Tobago United-States Vietnam Yugoslavia
salary
a factor with levels <=50k< code=""> >50K

Examples

Run this code
## Not run: data(census)
# imagmiss(census,"census")
# ## End(Not run)

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