Summary
In this chapter, we've introduced analytics as a process that starts with raw data and creates new knowledge to help people to take better decisions.
We also defined predictive analytics as a process that learns to create predictions from the data. Finally, we've defined data visualization as a technology that will help us to communicate data-based knowledge more efficiently.
After introducing the key concepts of the book, we've also described R, Rattle, and Qlik Sense, the tools we'll use to build the examples. And finally, we've installed the environment.
In Chapter 2, Handling Docker Containers, we'll explain how to load data into Rattle and how we can use Rattle to transform it.
