wine

Wine reviews from France, Switzerland, Austria and Germany.

datasets

New tools for the visualization of missing and/or imputed values
are introduced, which can be used for exploring the data and the structure of
the missing and/or imputed values. Depending on this structure of the missing
values, the corresponding methods may help to identify the mechanism generating
the missing values and allows to explore the data including missing values.
In addition, the quality of imputation can be visually explored using various
univariate, bivariate, multiple and multivariate plot methods. A graphical user
interface available in the separate package VIMGUI allows an easy handling of
the implemented plot methods.

Matthias Templ

Visualization and Imputation of Missing Values

Alexander Kowarik

Andreas Alfons

Gregor de Cillia

Bernd Prantner

Wolfgang Rannetbauer

wine function

A data frame with 9627 observations on the following 9 variables.<dl>
<dt>country</dt>
<dd>country of origin</dd><dt>points</dt>
<dd>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 &gt;=80)</dd><dt>price</dt>
<dd>the cost for a bottle of the wine</dd><dt>province</dt>
<dd>the province or state that the wine is from</dd><dt>taster_name</dt>
<dd>name of the person who tasted and reviewed the wine</dd><dt>taster_twitter_handle</dt>
<dd>Twitter handle for the person who tasted ane reviewed the wine</dd><dt>variety</dt>
<dd>the type of grapes used to make the wine (ie pinot noir)</dd><dt>winery</dt>
<dd>the winery that made the wine</dd><dt>variety_main</dt>
<dd>broader category as variety</dd>
</dl>

Format

Wine tasting and price — wine

A data frame with 9627 observations on the following 9 variables.<dl>
<dt>country</dt>
<dd>country of origin</dd>

<dt>points</dt>
<dd>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 &gt;=80)</dd>

<dt>price</dt>
<dd>the cost for a bottle of the wine</dd>

<dt>province</dt>
<dd>the province or state that the wine is from</dd>

<dt>taster_name</dt>
<dd>name of the person who tasted and reviewed the wine</dd>

<dt>taster_twitter_handle</dt>
<dd>Twitter handle for the person who tasted ane reviewed the wine</dd>

<dt>variety</dt>
<dd>the type of grapes used to make the wine (ie pinot noir)</dd>

<dt>winery</dt>
<dd>the winery that made the wine</dd>

<dt>variety_main</dt>
<dd>broader category as variety</dd>


</dl>

wine: Wine tasting and price

Description

Arguments

Format

Details

Examples