Visualization of wine datasets in R language

The wine The data set contains the results of chemical analysis of wines grown in specific regions of Italy .178 Three samples represent three types of wine , Each sample is recorded 13 The results of this chemical analysis .

Whether there are missing values in the dataset

data(wine, package="rattle") 
library(VIM )
aggr(wine, prop=FALSE, numbers=TRUE)

There are no missing values in the dataset

Which of the variables in the dataset are relevant ？

library(ggcorrplot)
wine[,-1] %>%
  cor() %>%
  round(2) %>%
  ggcorrplot(hc.order = TRUE,lab = TRUE)

Hue, Proanthocyanins , Dilution Phenols Flavanoids These variables are highly correlated

Decision tree classification model visualization , What features will be used

library(rpart)
dtree <- rpart(Type ~ ., data=wine, method="class", 
 parms=list(split="information"))
library(rpart.plot)
rpart.plot( dtree)