R/wine.R

In Rkabacoff/qacData: Datasets for Data Science Instruction

#'@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, ]
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