qacData: Datasets for Data Science Instruction

#' @title Contraceptive Method Choice
#'
#' @description
#' This dataset is a subset of the 1987 National Indonesia 
#' Contraceptive Prevalence Survey. 
#' 
#' @details
#' The samples are married women 
#' who were either not pregnant or do not know if they were at the 
#' time of interview. The problem is to predict the current 
#' contraceptive method choice (no use, long-term methods, 
#' or short-term methods) of a woman based on her demographic and 
#' socio-economic characteristics.
#'
#' @format A data frame with 1473 rows and 10 variables:
#' \describe{
#'   \item{\code{wife_age}}{integer.}
#'   \item{\code{wife_education}}{integer. \code{1=low, 2, 3, 4=high}.}
#'   \item{\code{number_of_children_ever_born}}{integer. }
#'   \item{\code{wife_religion}}{factor. \code{Non-Islam, Islam}.}
#'   \item{\code{standard_of_living}}{integer. \code{1=low, 2, 3, 4=high}.}
#'   \item{\code{media_exposure}}{factor. \code{Good, Not Good}.}
#'   \item{\code{contraceptive}}{factor. \code{No-use, Long-term, Short-term}.}
#'   \item{\code{wife_now_working}}{factor. \code{Yes, No}.}
#'   \item{\code{husband_education}}{integer. \code{1=low, 2, 3, 4=high.}}
#'   \item{\code{husband_occupation}}{integer. \code{1,2,3,4}.}
#' }
#' @examples 
#' summary(contraception)
#' @source 
#' Dua, D. and Graff, C. (2019). 
#' UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. 
#' Irvine, CA: University of California, School of Information and Computer Science
"contraception"