% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{airline_flights.hist}
\alias{airline_flights.hist}
\title{JFK Airport Airline Flights Histogram-Valued Dataset}
\format{
A data frame with 16 observations (Airline1--Airline16) and
17 numeric columns representing 6 histogram variables in wide format:
\itemize{
    \item \code{Flight Time(<120)}, \code{Flight Time([120, 220])},
          \code{Flight Time(>220)}: Flight time distribution (3 bins).
    \item \code{Taxi In(<4)}, \code{Taxi In([4, 10])},
          \code{Taxi In(>10)}: Taxi-in time distribution (3 bins).
    \item \code{Arrival Delay(<0)}, \code{Arrival Delay([0, 60])},
          \code{Arrival Delay(>60)}: Arrival delay distribution (3 bins).
    \item \code{Taxi Out(<16)}, \code{Taxi Out([16, 30])},
          \code{Taxi Out(>30)}: Taxi-out time distribution (3 bins).
    \item \code{Departure Delay(<0)}, \code{Departure Delay([0, 60])},
          \code{Departure Delay(>60)}: Departure delay distribution (3 bins).
    \item \code{Weather Delay(No)}, \code{Weather Delay(Yes)}:
          Weather delay distribution (2 bins).
}
}
\usage{
data(airline_flights.hist)
}
\description{
Histogram-valued dataset of 16 airlines flying into JFK Airport.
Six variables (Flight Time, Taxi In, Arrival Delay, Taxi Out,
Departure Delay, Weather Delay) recorded as frequency distributions.
This is the wide (flat table) format; see \code{\link{airline_flights2.modal}}
for the modal-valued version.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 16 \cr
  \strong{Variables (p)} \tab 17 \cr
  \strong{Subject area} \tab Transportation \cr
  \strong{Symbolic format} \tab Histogram \cr
  \strong{Analytical tasks} \tab Clustering, Descriptive statistics
}
}

\examples{
data(airline_flights.hist)
}
\references{
Billard, L. and Diday, E. (2006). \emph{Symbolic Data Analysis}. Wiley. Table 2.7.
}
\keyword{datasets}
\keyword{histogram}
