Summary

In this chapter, we visited some basics of R programming data types, data structures, and important functions and packages. We described vectors, matrix, list, DataFrame, and data tables as different forms of storing data. In the data processing and transformation space, we explore the cbind, rbind, merge, reshape, aggregate, and apply family of functions.

We also discussed the most important packages in R such as dplyr, tidyr, and plyr. In the end, the ggplot2 data visualization package was used to demonstrate various types of visualization and how to draw insights from them.

In the next chapter, we will use all that you have learned in this chapter for performing Exploratory Data Analysis (EDA). In EDA, data transformation and visualization you learned here will be useful for drawing inferences from data.