Deep Learning with R Cookbook

How to do it...

Before doing any transformations in the dataset, we will analyze the properties of the data, such as its dimensions, its variables, and its summary:

1. Let's start by loading the iris dataset from the datasets library:

data <- datasets::iris

Now, we can view the dimensions of the data:

dim(data)

Here, we can see that there are 150 rows and 5 columns in the data:

Let's display the first five records of the data:

head(data)

Let's have a glance at the data:

Now, let's have a look at the datatypes of the variables in the dataset: ...