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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/VIM-package.R
\docType{data}
\name{wine}
\alias{wine}
\title{Wine tasting and price}
\format{
A data frame with 9627 observations on the following 9 variables.
\describe{
\item{country}{country of origin}
\item{points}{the number of points WineEnthusiast rated the wine on a scale of 1-100
(though they say they only post reviews for wines that score >=80)}
\item{price}{the cost for a bottle of the wine}
\item{province}{the province or state that the wine is from}
\item{taster_name}{name of the person who tasted and reviewed the wine}
\item{taster_twitter_handle}{Twitter handle for the person who tasted ane reviewed the wine}
\item{variety}{the type of grapes used to make the wine (ie pinot noir)}
\item{winery}{the winery that made the wine}
\item{variety_main}{broader category as variety}
}
}
\source{
\url{https://www.kaggle.com/zynicide/wine-reviews}
}
\description{
Wine reviews from France, Switzerland, Austria and Germany.
}
\details{
The data was scraped from WineEnthusiast during the week of Nov 22th, 2017.
The code for the scraper can be found at https://github.com/zackthoutt/wine-deep-learning
This data set is slightly modified, i.e. only four countries are selected and
broader categories on the variety have been added.
}
\examples{
data(wine)
str(wine)
aggr(wine)
}
\keyword{datasets}
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