In a world where data is becoming increasingly important, business people and scientists need tools to analyze and process large volumes of data efficiently. R is one of the tools that has become increasingly popular in recent years for data processing, statistical analysis, and data science, and while R has its roots in academia, it is now used by organizations across a wide range of industries and geographical areas.
Some of the important topics covered in this chapter are as follows:
- History of R and why it was designed the way it was
- What the interpreter and the console are and how to use them
- How to work with basic data types and data structures of R
- How to divide work by using functions in different ways
- How to introduce complex logic with control structures
