% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{hdi_gender.int}
\alias{hdi_gender.int}
\title{Human Development Index and Gender Indicators Interval Dataset}
\format{
A data frame with 183 observations and 6 variables:
\itemize{
    \item \code{code}: ISO 3166-1 alpha-3 country code.
    \item \code{country}: Country name.
    \item \code{hdi}: Human Development Index value (UNDP).
    \item \code{women_law_index}: Women, Business and the Law Index Score range.
    \item \code{women_parliament}: Proportion of seats held by women in
          national parliaments range (\%).
    \item \code{hdi_category}: Ordered factor with HDI classification
          (Low < Medium < High < Very High).
}
}
\source{
\url{https://github.com/aleixalcacer/OCFIVD}
}
\usage{
data(hdi_gender.int)
}
\description{
Interval-valued World Bank gender indicators for 183 countries, with
ordinal HDI classification. Contains interval ranges for Women, Business
and the Law Index Score and proportion of seats held by women in national
parliaments.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 183 \cr
  \strong{Variables (p)} \tab 6 \cr
  \strong{Subject area} \tab Socioeconomics \cr
  \strong{Symbolic format} \tab Interval \cr
  \strong{Analytical tasks} \tab Classification
}
}

\examples{
data(hdi_gender.int)
}
\references{
Alcacer, A., Barrel, A., Groenen, P. J. F. and Grana, M. (2023).
Ordinal classification for interval-valued data and ordinal data.
\emph{Expert Systems with Applications}, 238, 121825.
}
\keyword{datasets}
\keyword{interval}
\keyword{ordinal}
