Slip 13 - E) Consider the inbuilt iris dataset i) Create a variable “y” and attach to it the output attribute of the “iris” dataset. ii) Create a barplot to break down your output attribute. iii) Create a density plot matrix for each attribute by class value.

Solution:

data(iris)

dataset<-iris

library(caret)

x<-dataset[,1:4]

y<-dataset[ ,5]

library(dplyr)

library(ggplot2)

dataset %>% ggplot(aes(x=y)) + geom_bar() + labs(x = "Iris Flower Species")

scales<-list(x = list(relation = "free"), y = list(relation = "free"))

featurePlot(x = x, y = y, plot = "density", scales = scales)