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#' Wine prices and points
#'
#' A data set containing data on wines from 44 countries, taken from *Wine Enthusiast Magazine*
#' during the week of 15 June 2017. The data are downloaded and returned.
#'
#' @format A data frame with 110,203 rows and 8 columns:
#' \describe{
#' \item{country}{Country of origin}
#' \item{state}{State or province of origin}
#' \item{region}{Region of origin}
#' \item{winery}{Name of vineyard that made the wine}
#' \item{variety}{Variety of grape}
#' \item{points}{Points allocated by WineEnthusiast reviewer on a scale of 0-100}
#' \item{price}{Price of a bottle of wine in $US}
#' \item{year}{Year of wine extracted from `title`}
#' }
#' @return Data frame
#' @examples
#' \dontrun{
#' wine_reviews <- fetch_wine_reviews()
#' wine_reviews |>
#' ggplot(aes(x = points, y = price)) +
#' geom_jitter(height = 0, width = 0.2, alpha = 0.1) +
#' scale_y_log10()
#' }
#' @source \url{https://kaggle.com}
#' @aliases wine_reviews
#' @export
fetch_wine_reviews <- function() {
# Download to temporary file to avoid repeated downloads in the same session
dest_folder <- tempdir()
dest_file <- paste0(dest_folder,"/wine_reviews.rds")
if(!file.exists(dest_file)) {
utils::download.file(
url = "https://github.com/robjhyndman/weird-package/raw/main/data-raw/wine_reviews.rds",
destfile = dest_file
)
}
readRDS(dest_file)
}
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