% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{energy_usage.distr}
\alias{energy_usage.distr}
\title{Energy Usage Distribution-Valued Dataset}
\format{
A data frame with 10 observations and 2 distribution-valued variables:
\itemize{
    \item \code{fuel_type}: Distribution over fuel types
          (None, Gas, Oil, Electricity, Coal).
    \item \code{central_heating}: Distribution over central heating
          (No, Yes).
}
Row names are Town_1 through Town_10.
}
\source{
Billard, L. and Diday, E. (2006), Table 3.7.
}
\usage{
data(energy_usage.distr)
}
\description{
Distribution-valued dataset for 10 towns (geographic areas) with
categorical probability distributions for fuel type and central heating.
Each observation has two distribution-valued variables.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 10 \cr
  \strong{Variables (p)} \tab 2 \cr
  \strong{Subject area} \tab Energy \cr
  \strong{Symbolic format} \tab Distribution \cr
  \strong{Analytical tasks} \tab Descriptive statistics
}
}

\examples{
data(energy_usage.distr)
}
\references{
Billard, L. and Diday, E. (2006). \emph{Symbolic Data Analysis:
Conceptual Statistics and Data Mining}. Wiley, Chichester. Table 3.7.
}
\keyword{datasets}
\keyword{distribution}
