adult: Adult Data Set

Description Usage Format Source Examples

Description

Adult Data Set

Usage

1

Format

age

The individual's age.

workclass

The individual's type of employment. Can include Private, Federal-gov, Without-pay, etc.

fnlwgt

Final weight.

education

The individual's education level. Can include Bachelors, Some-college, etc.

education_num

A numeric representation of the individual's education level.

marital_status

The individual's marital status. Can include Never-married, Divorced, Widowed, etc.

occupation

The individual's occupation industry. Can include Tech-support, Farming-fishing, etc.

relationship

The individual's relationship to other family members. Can include Wife, Husband, Own-child, etc.

race

The individual's race. Can include White, Asian-Pac-Islander, etc.

sex

The individual's sex, male or female.

capital_gain

The individual's capital gain.

capital_loss

The individual's capital loss.

hours_per_week

The individual's hours worked per week.

native_country

The individual's native country.

salary

The individual's salary, either <=50K or >50K.

Source

https://archive.ics.uci.edu/ml/machine-learning-databases/adult/

Examples

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## Not run: 
adult %>%
filter(salary = "<=50K")
## End(Not run)
## Not run: 
adult %>%
group_by(marital_status) %>%
count()
## End(Not run)

emmal73/readUCI documentation built on Dec. 24, 2019, 1:29 p.m.