### What is R Programming?

Ross Ihaka and Robert Gentleman created the free software and computer language R in 1993. R includes a large collection of statistical and graphical methods. It comprises, among other things, statistical inference, time series, linear regression, and machine learning techniques. Most R libraries are written in R. However, C, C++, and Fortran codes are favoured for complex computational tasks. To learn more about R Programming, join R Programming Training in Chennai at FITA Academy.

R is used by many significant organisations, including Uber, Google, Airbnb, Facebook, and others, and is not just trusted by academic institutions.

Programming, transforming, discovering, modelling, and communicating the results are the sequential processes in the data analysis process with R.

1)R is a simple and approachable programming language.

2)R is composed of several libraries created expressly for data science.

3)Examine the information, hone your theory, and study it.

4) Various tools are available in R to help you find the best model for your data.

5)To communicate, combine programmes, graphs, and outputs into a report using R Markdown, or create Shiny apps to distribute to the public.

R is an interpreted programming language developed by Ross Ihaka and Robert Gentleman at the University of Auckland in New Zealand. The R Development Core Team is currently developing R. It is also a software environment that examines graphical displays, reporting, and data modelling. The lexical scoping semantics are paired with the S programming language implemented in R.

In addition to branching and looping, R also enables modular programming with functions. To increase productivity, R enables integration with processes created in C, C++,.Net, Python, and FORTRAN.

R is one of the most crucial tools used by statisticians, academics, data analysts, and marketers today for retrieving, cleaning, analysing, visualising, and presenting data.

It is possible to analyse statistical data and graphical representations using the software environment R. With functions, R enables modular programming.

R is publicly accessible under the GNU General Public License, and binary versions already pre-compiled for other operating systems, including Linux, Windows, and Mac, are also available.

R is free software published under the GNU copyleft licence and is a recognised component of the GNU project known as GNU S.

### Conclusion:

I hope this blog is useful to know about R Programming. To learn more about R Programming, join R Programming Online Course to learn more about the different applications of data science. It is a software tool commonly used to analyse a huge amount of data.