censusn {dprep} | R Documentation

## The census dataset

### Description

This is the census dataset from the UCI where the values of the nominal attributes are numerically codified. This dataset contains plenty of missing values.

### Usage

    data(censusn)

### Format

A data frame with 32561 observations on the following 14 variables.

V1
  age:continuous
V2
  workclass:
V3
  fnlwgt:continuous
V4
  education
V5
  marital-status:
V6
  occupation:
V7
  relationship:
V8
  race
V9
  sex
V10
  capital-gain: continuous.
V11
  capital-loss: continuous.
V12
  hours-per-week: continuous.
V13
  native-country:
V14
  class: >50K, <=50K

### Details

The fifth and fourth features of the orginal dataset were the same, since the fifth contained the numerical codifications of the fourth. In censusn only one of these feature is considered. 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: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool. 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.

### Source

The UCI Machine Learning Database Repository at:

- ftp://ftp.ics.uci.edu/pub/machine-learning-databases
- http://www.ics.uci.edu/~mlearn/MLRepository.html

### Examples

    data(censusn)
    #----knn imputation------
    data(censusn)
    imagmiss(censusn, "censusn")

[Package dprep version 1.0 Index]