In this chapter, we have focused on the implementation of the ggplot2() library, which is considered to be a data visualization library. We have listed some of the various packages that are available for reading various kinds of attributes within the mentioned dataset in R. Many different options are available, and even the options we have listed have a wide functionality, which we are going to cover and use as we go further into the book. In this chapter, we mainly covered different plots, including scatter plots, histogram plots, density plots, probability plots, and box plots.
In the next chapter, we will learn how to use RStudio to wrap your code, graphics, plots, and findings in a complete and informative data analysis report, and how to publish it in different formats for different audiences using R markdown and packages such as knitr.