% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{age_pyramids.hist}
\alias{age_pyramids.hist}
\title{World Age Pyramids Histogram-Valued Dataset (2014)}
\format{
A data frame with 229 observations (countries) and 3
histogram-valued variables:
\itemize{
    \item \code{Both.Sexes.Population}: Histogram of total population
          by age group.
    \item \code{Male.Population}: Histogram of male population by age group.
    \item \code{Female.Population}: Histogram of female population by age group.
}
Row names are country names (e.g., WORLD, Afghanistan, Albania).
}
\source{
HistDAWass R package (\code{Age_Pyramids_2014} dataset).
}
\usage{
data(age_pyramids.hist)
}
\description{
Histogram-valued dataset of 229 countries with 3 population age pyramid
histograms (both sexes, male, female). Each histogram has 21 age bins
representing the distribution of the population across age groups.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 229 \cr
  \strong{Variables (p)} \tab 3 \cr
  \strong{Subject area} \tab Demographics \cr
  \strong{Symbolic format} \tab Histogram \cr
  \strong{Analytical tasks} \tab Clustering, Descriptive statistics
}
}

\examples{
data(age_pyramids.hist)
}
\references{
Irpino, A. and Verde, R. (2015). Basic statistics for distributional
symbolic variables: A new metric-based approach.
\emph{Advances in Data Analysis and Classification}, 9(2), 143--175.

Original data from the HistDAWass R package (\code{Age_Pyramids_2014}).
}
\keyword{datasets}
\keyword{demographics}
\keyword{histogram}
