Objects, functions, and packages can easily be created by R. R is great for Machine Learning, Statistics, and Data Analysis. R is available for major operating systems like Windows, Linux, and macOS. R can be run with a command-line interface and in an integrated development environment. In this article, we will explain why you should learn R and how it would benefit you in the field of Data Science. R allows various features that differentiate it from other data science languages. This makes R the standard language for performing statistical operations. It is used in analyzing both structured and unstructured types of data. R is the most popular language in the data science world. ![]() R was developed in 1993 at the University of Auckland, New Zealand by Robert Gentleman and Ross Ihaka. R is an open-source programming language and is a free software environment for statistical computing. What is the R programming language and how to work?
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