Summary

In this chapter, we learned how to carry out the essential computations. We also learned how to import data from various foreign formats and then to export R objects and output suitable for other software. We also saw how to effectively manage an R session.

Now that we know how to create R and Python data objects, the next step is the visualization of such data. In the spirit of Chapter 1, Data Characteristics, we consider graph generation according to the nature of the data. Thus, we will see specialized graphs for data related to discrete as well as continuous random variables. There is also a distinction made for graphs required for univariate and multivariate data.

The next chapter must be pleasing on the eyes! Special emphasis is made on visualization techniques related to categorical data, which includes bar charts, dot charts, and spine plots. Multivariate data visualization is more than mere 3D plots and the R methods, such as pairs plots will be useful and will be taken there...