#' movies
#'
#' A dataset with information about movies released in 2003.
#'
#' @name movies
#' @docType data
#' @format A data frame with 140 observations on the following 5 variables.
#' \describe{
#' \item{movie}{Title of the movie.}
#' \item{genre}{Genre of the movie.}
#' \item{score}{Critics score of the movie on a 0 to 100 scale.}
#' \item{rating}{MPAA rating of the film.}
#' \item{box_office}{Millions of dollars earned at the box office in the US and Canada.}
#' }
#' @keywords datasets
#' @source [Investigating Statistical Concepts, Applications and Methods](http://www.rossmanchance.com/iscam2/data/movies03.txt)
#' @examples
#'
#' library(ggplot2)
#'
#' ggplot(movies, aes(score, box_office, color = genre)) +
#' geom_point() +
#' theme_minimal() +
#' labs(
#' title = "Does a critic score predict box office earnings?",
#' x = "Critic rating",
#' y = "Box office earnings (millions US$",
#' color = "Genre"
#' )
#'
"movies"
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