What is R Programming?

R Programming is one of the popular languages, which is widely used for statistical modeling. R programming is an open-source scripting language for storage, data visualization, and predictive analysis. It was founded by Robert Gentleman and Ross Ihaka Robert Gentleman from the University of New Zealand and Auckland.

 It is used in analyzing the data in both structured and unstructured. R enables various features that set it apart from other languages of Data Science.

In Data Science, R plays a very important function, you will be gained by following operations in R.

Importance of R Programming :

Run your code without a compiler 

R programming is an interpreted language. So we can run the code without any compiler. R interprets the code and makes it easier to develop the code.

Statistical Language 

R is used in genetics, biology, and statistics. R is a complete twisting language where any type of task can be performed.

Several calculations are achieved with vectors 

R is a vector language so that anyone can add functions to a single vector without putting it in a loop. R is therefore powerful and faster than other languages.

Advantages of R Language

• As new technology and ideas often appear first in R, R is the most comprehensive statistical analysis package.
• In R, anyone is welcome to provide fixes for bugs, code changes, and new packages.
• R is open-source, which runs R anywhere at any time, and even sells it under license terms.
• It's a cross-platform that runs on several operating systems. It's best for both GNU/Linux and Microsoft Windows.

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