Introduction to the statistical tool R. R is used for statistical programming. It gives the user the capability to create programs that generate a lot of flexibility, similar to Python.

R is an environment for graphical and statistical computing. It’s an extension of the S language, which was developed by Bell Laboratories. R provides a good set of statistical functions, which are extensible and can be used to solve complex data problems. Using R, users can generate industry-standard plots.

R is freely available and can be used under the GNU license. It can be used with different operating systems, including UNIX, Linux, and Windows.

R is very popular with statisticians and data scientists. In the past, it was used to create prototypes to solve complex problems. Now, it is used to create production-level models. With the support of servers and enhanced user experiences, these models are very efficient. Additionally, R is open-source, meaning that users can create their own library or even modify the basic code.

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