This means it can be applied to all operating systems. It is a platform-independent language.Objects, functions, and packages can easily be created by R. R programming is used as a leading tool for machine learning, statistics, and data analysis.This language is the most popular among data scientists and data miners and can be used in data analysis and data mining. But C, C++ codes are preferred for performing some rare tasks. 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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