Now that you have a working Julia installation and your IDE of choice is ready to run, it's time to put them to some good use. In this chapter, you'll learn how to apply Julia for data analysis—a domain that is central to the language, so expect to be impressed!
We will learn to perform exploratory data analysis with Julia. In the process, we'll take a look at RDatasets, a package that provides access to over 700 learning datasets. We'll load one of them, the Iris flowers dataset, and we'll manipulate it using standard data analysis functions. Then we'll look more closely at the data by employing common visualization techniques. And finally, we'll see how to persist and (re)load our data.
But, in order to do that, first we need to revisit and take a look at some of the language's most important building...
