% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{age_cholesterol_weight.int}
\alias{age_cholesterol_weight.int}
\title{Age-Cholesterol-Weight Interval Dataset}
\format{
A symbolic data frame (\code{symbolic_tbl}) with 7 observations and 4 variables:
\itemize{
    \item \code{Age}: Age range (years, interval).
    \item \code{Cholesterol}: Cholesterol level range (mg/dL, interval).
    \item \code{Weight}: Weight range (pounds, interval).
    \item \code{n}: Number of individuals in the age group (numeric).
}
}
\usage{
data(age_cholesterol_weight.int)
}
\description{
Interval-valued dataset of 7 age-group observations with cholesterol and
weight measurements. Each observation aggregates individuals in a 10-year
age band with interval ranges for cholesterol and weight.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 7 \cr
  \strong{Variables (p)} \tab 4 \cr
  \strong{Subject area} \tab Medical \cr
  \strong{Symbolic format} \tab Interval \cr
  \strong{Analytical tasks} \tab Descriptive statistics, Regression
}
}

\examples{
data(age_cholesterol_weight.int)
}
\references{
Billard, L. and Diday, E. (2006). \emph{Symbolic Data Analysis}. Wiley.
}
\keyword{datasets}
\keyword{interval}
