In this chapter, we have learned a little about what predictive analytics is and how they can be used in various industries. We learned some things about data, and how they can be organized in projects. Finally, we installed RStudio, ran a simple linear regression, and installed and ran our first package. We learned that it is always good practice to examine data after it has been loaded into memory, and a lot can be learned from simply displaying and plotting the data.
In the next chapter, we will discuss the overall predictive modeling process itself, introduce some key model packages using R, and provide some guidance on avoiding some predictive modeling pitfalls.
