First of all, we will need multi-dimensional data to visualize. It can be thought of as a collection of rows, each with an equal number of columns (or attributes). Sometimes these rows are called records, and they usually represent the properties of some real-world or other object. For example, rows can represent a person with columns for age, height, and so on. The position of a value in the record therefore has a meaning.
Each column represents an attribute. We have already considered this type of data multiple times through out the course of this book. An example of such a dataset is the data about Iris flowers that is very commonly used as a sort of data analysis "Hello, World!" This dataset has already been explored in this book. You can get it from the website given here:
https://archive.ics.uci.edu/ml/datasets/Iris
Just save it to your project directory for it to be readily available for use in the programs we will write in this chapter. This dataset is...