In the light of the preceding discussion, it can be summarized that data manipulation and data management is an important step in performing data mining on various live projects. Since R provides a better statistical programming platform and visualization, the use of R to explain various data mining concepts to the readers makes sense. In this chapter, we looked at an introduction to data mining and R with concepts, a few programming basics, R data types, and so on. We also covered importing and exporting of various external file formats using R, sorting and merging concepts, and missing data management techniques.

In the next chapter, we are going to learn more about performing exploratory data analysis using R and how to understand univariate, bivariate and multivariate datasets. First of all, we are going to understand the concepts, practical interpretation, and then R implementation to gain knowledge on exploratory data analysis.