We've seen Incanter (http://incanter.org/) earlier in this book, but we'll spend a lot more time with that library over the next few chapters. Incanter combines the power of doing statistics using a fully-featured statistical language such as R with the ease and joy of Clojure.

Incanter's core data structure is the dataset, so we'll be spending some time in this chapter looking at how to use them effectively. Learning basic tools like this is often not the most exciting way to spend our time, but it can still be incredibly useful. At its most fundamental level, an Incanter dataset is a table of rows. Each row has the same set of columns, much like a spreadsheet. The data in each cell of an Incanter dataset can be a string or numeric.

First, we'll learn how to populate and view datasets, and then we'll learn different ways to query and project the parts of the dataset that we're interested in onto a new dataset. Finally, we'll look at saving datasets and merging multiple datasets...