% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{polish_cars.mix}
\alias{polish_cars.mix}
\title{Polish Car Models Mixed Symbolic Dataset}
\format{
A symbolic data frame (\code{symbolic_tbl}) with 30 observations
and 12 variables:
\itemize{
    \item \code{price}: Interval-valued price (PLN).
    \item \code{body}: Multinomial body types (e.g., hatchback, sedan, combi).
    \item \code{wheelbase}: Interval-valued wheelbase (mm).
    \item \code{chassis_length}: Interval-valued chassis length (mm).
    \item \code{chassis_width}: Interval-valued chassis width (mm).
    \item \code{chassis_height}: Interval-valued chassis height (mm).
    \item \code{engine_capacity}: Multinomial engine displacement categories (litres).
    \item \code{engine_power}: Interval-valued engine power (HP).
    \item \code{maximum_speed}: Interval-valued maximum speed (km/h).
    \item \code{acceleration}: Interval-valued 0--100 km/h time (seconds).
    \item \code{fuel_type}: Multinomial fuel types (petrol, diesel, LPG).
    \item \code{fuel_consumption}: Interval-valued fuel consumption (L/100km).
}
}
\source{
symbolicDA R package (\code{cars} dataset).
}
\usage{
data(polish_cars.mix)
}
\description{
Mixed symbolic dataset of 30 car models sold in Poland, with 9
interval-valued technical specification variables and 3 multinomial-valued
categorical variables.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 30 \cr
  \strong{Variables (p)} \tab 12 \cr
  \strong{Subject area} \tab Automotive \cr
  \strong{Symbolic format} \tab Mixed (interval, multinomial) \cr
  \strong{Analytical tasks} \tab Clustering, Descriptive statistics
}
}

\examples{
data(polish_cars.mix)
}
\references{
Dudek, A. and Pelka, M. (2012). \emph{symbolicDA: Analysis of Symbolic
Data}. R package.
}
\keyword{datasets}
\keyword{interval}
\keyword{mixed}
\keyword{multinomial}
