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#' Adult dataset
#'
#' \code{adult} dataset consists of many columns containing various information about relationship, hours worked per week, workclass etc... and about
#' salary, whether more than 50K a year or not. Lot's of possible protected attributes such as sex, race age. Some columns contain
#' level "unknown" and these values are not removed and removing them depends on user as they might contain some information.
#'
#'
#' @format A data frame with 32561 rows and 15 variables:
#' \describe{
#' \item{salary}{factor, <=50K/>50K whether a person salary exceeds 50K a year or not}
#' \item{age}{integer, age of person}
#' \item{workclass}{factor, field of work}
#' \item{fnlwgt}{numeric}
#' \item{education}{factor, completed education degree}
#' \item{education_num}{numeric, education number in converted from education factor, the bigger the better}
#' \item{marital_status}{factor}
#' \item{occupation}{factor, where this person works}
#' \item{relationship}{factor, relationship information}
#' \item{race}{factor, ethnicity of a person}
#' \item{sex}{factor, gender of a person}
#' \item{capital_gain}{numeric}
#' \item{capital_loss}{numeric}
#' \item{hours_per_week}{numeric, how many hours per week does this person work}
#' \item{native_country}{factor, in which country was this person born}
#' }
#' @name adult
#' @docType data
#' @usage data(adult)
#'
#' @source Data from UCL \url{https://archive.ics.uci.edu/ml/datasets/adult}
#'
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