A data frame containing wine reviews for wines made in the United States, France, and Italy.
wineFormat
A data frame with 5,000 rows and 13 variables The variables are as follows:
- id
a unique identifier
- country
country that the wine is from
- description
description of the wine, written by the taster
- designation
vineyard within the winery where the wine is from
- points
number of points the wine was rated on a scale of 1 - 100
- price
cost of the bottle of wine($)
- province
the province or state that the wine is from
- region
the wine growing area within the province or state
- taster_name
name of the reviewer
- taster_twitter_handle
twitter handle of the reviewer
- title
title of the wine review; contains the vintage of the wine
- variety
type of grape used to make the wine
- winery
winery where the wine was produced
Source
The full data set can be found on Kaggle https://www.kaggle.com/zynicide/wine-reviews
Note
This is a good dataset for both quantitative and text mining.
Examples
summary(wine)
#> id country description designation
#> Length:5000 Length:5000 Length:5000 Length:5000
#> Class :character Class :character Class :character Class :character
#> Mode :character Mode :character Mode :character Mode :character
#>
#>
#>
#>
#> points price province
#> Min. : 80.00 Min. : 7.00 California:1639
#> 1st Qu.: 87.00 1st Qu.: 22.00 Washington: 701
#> Median : 89.00 Median : 35.00 Oregon : 437
#> Mean : 89.34 Mean : 41.76 Burgundy : 252
#> 3rd Qu.: 91.00 3rd Qu.: 50.00 Tuscany : 217
#> Max. :100.00 Max. :550.00 Alsace : 202
#> (Other) :1552
#> region taster_name taster_twitter_handle
#> Columbia Valley (WA): 299 Roger Voss :1100 Length:5000
#> Willamette Valley : 184 Virginie Boone : 795 Class :character
#> Alsace : 179 Kerin O’Keefe : 785 Mode :character
#> Russian River Valley: 159 Paul Gregutt : 735
#> Champagne : 157 Matt Kettmann : 533
#> Napa Valley : 126 Sean P. Sullivan: 413
#> (Other) :3896 (Other) : 639
#> title variety
#> Length:5000 Pinot Noir : 770
#> Class :character Chardonnay : 497
#> Mode :character Red Blend : 420
#> Cabernet Sauvignon : 298
#> Bordeaux-style Red Blend: 243
#> Syrah : 220
#> (Other) :2552
#> winery
#> Columbia Crest : 25
#> Louis Latour : 18
#> Chateau Ste. Michelle: 16
#> Cayuse : 13
#> Chehalem : 13
#> :Nota Bene : 12
#> (Other) :4903
table(wine$points)
#>
#> 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99
#> 4 6 27 56 129 232 355 503 687 549 661 621 468 361 219 88 26 3 3 1
#> 100
#> 1
hist(wine$points)
plot(wine$points, wine$price,
main = "Wine Prices by Score",
xlab = "Score (1-100)",
ylab = "Price ($)")
wine[1, ]
#> id country
#> 1 1 US
#> description
#> 1 Cabernet Sauvignon (80%) makes up the majority of this wine, with the rest equal parts Cabernet Franc and Merlot. Aromas of high-toned green herbs, spice, black cherry and blackberry lead to lively cranberry and cherry flavors. It shows a sense of freshness, though at times it seems a bit green.
#> designation points price province region
#> 1 Frederick Estate Grown 89 50 Washington Walla Walla Valley (WA)
#> taster_name taster_twitter_handle
#> 1 Sean P. Sullivan @wawinereport
#> title
#> 1 Spring Valley Vineyard 2013 Frederick Estate Grown Red (Walla Walla Valley (WA))
#> variety winery
#> 1 Bordeaux-style Red Blend Spring Valley Vineyard