R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering,) and graphical techniques,
and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.
One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor
design choices in graphics, but the user retains full control.
R is a programming language and software environment for statistical analysis, graphics representation and reporting. R Graphic capabilities are very sophisticated and better than most stat packages. Now lot of company are using R for evaluating their systems. Universities are using it for research. That means anything happening in the statistics world it will get incorporated in R. R is world's most widely used statistics programming language. It's the # 1 choice of data scientists and supported by a vibrant and talented community of contributors. It's a collection of multiple packages
