R programming language is a programming language and software system designed for data analysis and graphics. It is a powerful and versatile language used for statistical and computing applications. Developed in 1993 by Robert Gentleman and Ross Ihaka at the University of Auckland, it quickly became the language of choice for data scientists all over the world.
R programming language is a functional language which executes commands line by line and results in a statistical analysis. It supports loops, vector arithmetic, matrix algebra and a wide range of statistical packages that make it highly desirable for data analysis. The syntax is quite similar to the language S, even though R is an interpreted language while S is a compiled language.
R is widely used by statisticians, data scientists, and researchers for different kinds of statistical analyses, graphical representation, and mathematical modeling. R is used in multivariate analysis, image analysis, machine learning, and deep learning applications. It can be used to build complex predictive statistical models, create visualizations, and perform computations.
Using R programming language, users can access datasets from a wide range of sources, such as online databases, text files, images, web services, and other sources. It is well supported with packages such as data manage, caret, and dplyr which allows users to easily manipulate datasets.
R programming language runs on a variety of operating systems. It can be used in a variety of web environments, and users can also write their own code and applications. It is extensible and can be used along with other programming languages such as Python, SAS, MATLAB, and Java.
R programming language is an open source language which is constantly being developed and supported by the community of users. It is widely used in the industry and is a powerful and popular tool for data scientists and statisticians.
