The language and environment for statistical computing and graphics, R, is widely used among statisticians and data miners.
These groups use R for developing statistical software and for data analysis.
The open source scripting language was designed to enable sophisticated programming skills in order to perform complex statistical analysis and to display the result in a multitude of visual graphics.
The use of R is now typically being developed for enterprise users in order to tackle big data analytics tasks.
Due to its high-level statistical capabilities it is increasingly being used as an alternative to some other software analytics. This popularity has resulted in more vendors supporting the use of R in their software.
For users this means that they don’t necessarily have to write complex R code, instead they can create sophisticated data models by using GUI.
Companies such as Oracle, SAS, and TIBCO have incorporated R support into some of their products.