![]() R provides users with a range of graphical and statistical techniques, such as time-series analysis, clustering, classification, and linear and nonlinear modeling. R is currently available for free and can run on Windows and Mac OS, as well as a variety of UNIX platforms and related systems. It is often used by Data Scientists, Business Analysts, Data Analysts, and those working in academia or science for tasks specifically involving statistical analysis. This popular language has a range of applications for performing statistical computing and creating data visualizations. R is a programming language that statisticians created for statistical data analytics. This article will take a closer look at R’s uses and the benefits of studying this language. ![]() R includes a range of built-in features for statistical computing and doesn’t require third-party libraries to perform most data analysis. R is considered unique because it’s not a general-purpose language. This scripted language provides users with a variety of analytical and mathematical methods, as well as statistical graphing capabilities. R is an open-source programming language that is free to download and use.
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