R is an open-source language and computing environment for Windows, Macintosh, UNIX, and Linux platforms. Such software allows for the user to freely distribute, study, change, and improve the software under the Free Software Foundation’s GNU General Public License. It is a GNU project that is similar to the S language and environment which was developed at Bell Laboratories by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.
R is the most popular language used in the field of statistics.R is not just a statistics package, it’s a language too. R is designed to operate the way that problems are thought about. R is both flexible and powerful. R is a very popular language in academia. Many researchers and scholars use R for experimenting with data science. Many popular books and learning resources on data science use R for statistical analysis as well. Since it is a language preferred by academicians, this creates a large pool of people who have a good working knowledge of R programming. Putting it differently, if many people study R programming in their academic years than this will create a large pool of skilled statisticians who can use this knowledge when the move to the industry. Thus, leading increased traction towards this language.
R As a Data Tools