% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{profession.int}
\alias{profession.int}
\title{Profession Work Salary Time Interval Dataset}
\format{
A symbolic data frame (\code{symbolic_tbl}) with 15 observations and 4 variables:
\itemize{
    \item \code{Type_of_Work}: Work category (White Collar or Blue Collar, character).
    \item \code{Profession}: Profession name (character).
    \item \code{Salary}: Salary range (currency units, interval).
    \item \code{Duration}: Working duration range (hours per week, interval).
}
}
\usage{
data(profession.int)
}
\description{
Interval-valued data for 15 profession entries classified by work type
(White Collar / Blue Collar). Each entry describes a specific profession
with salary and working duration ranges.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 15 \cr
  \strong{Variables (p)} \tab 4 \cr
  \strong{Subject area} \tab Sociology \cr
  \strong{Symbolic format} \tab Interval \cr
  \strong{Analytical tasks} \tab Descriptive statistics, Classification
}
}

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