#'@title Wine reviews
#'
#'@description
#'A data frame containing wine reviews for wines made in the United
#'States, France, and Italy.
#'
#'@docType data
#'@keywords datasets
#'@name wine
#'@usage wine
#'
#'
#'@format A data frame with 5,000 rows and 13 variables
#'The variables are as follows:
#'\describe{
#' \item{id}{a unique identifier}
#' \item{country}{country that the wine is from}
#' \item{description}{description of the wine, written by the taster}
#' \item{designation}{vineyard within the winery where the wine is from}
#' \item{points}{number of points the wine was rated on a scale of 1 - 100}
#' \item{price}{cost of the bottle of wine($)}
#' \item{province}{the province or state that the wine is from}
#' \item{region}{the wine growing area within the province or state}
#' \item{taster_name}{name of the reviewer}
#' \item{taster_twitter_handle}{twitter handle of the reviewer}
#' \item{title}{title of the wine review; contains the vintage of the wine}
#' \item{variety}{type of grape used to make the wine}
#' \item{winery}{winery where the wine was produced}
#'}
#' @note This is a good dataset for both quantitative and text mining.
#'
#' @source The full data set can be found on Kaggle
#' \href{https://www.kaggle.com/zynicide/wine-reviews}{https://www.kaggle.com/zynicide/wine-reviews}
#' @examples
#' summary(wine)
#'
#' table(wine$points)
#'
#' hist(wine$points)
#'
#' plot(wine$points, wine$price,
#' main = "Wine Prices by Score",
#' xlab = "Score (1-100)",
#' ylab = "Price ($)")
#'
#' wine[1, ]
NULL
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