% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{finance.int}
\alias{finance.int}
\title{Finance Sector Interval Dataset}
\format{
A symbolic data frame (\code{symbolic_tbl}) with 14 observations and 7 variables:
\itemize{
    \item \code{Sector}: Business sector name (character).
    \item \code{Job_Cost}: Job cost range (currency units, interval).
    \item \code{Job_Code}: Job code range (interval).
    \item \code{Activity_Code}: Activity code range (interval).
    \item \code{Monthly_Cost}: Monthly cost range (currency units, interval).
    \item \code{Annual_Budget}: Annual budget range (currency units, interval).
    \item \code{n}: Number of entities in the sector (numeric).
}
}
\usage{
data(finance.int)
}
\description{
Interval-valued data for 14 business sectors described by job-related
financial variables (job cost codes, activity codes, budgets).
Used for PCA demonstrations.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 14 \cr
  \strong{Variables (p)} \tab 7 \cr
  \strong{Subject area} \tab Finance \cr
  \strong{Symbolic format} \tab Interval \cr
  \strong{Analytical tasks} \tab PCA
}
}

\examples{
data(finance.int)
}
\references{
Billard, L. and Diday, E. (2006). \emph{Symbolic Data Analysis}. Wiley. Table 5.2.
}
\keyword{PCA}
\keyword{datasets}
\keyword{interval}
