![]() With a graphical user interface for developing programs, R supports a variety of analytical modeling techniques such as classical statistical tests, clustering, time-series analysis, linear and nonlinear modeling, and more. R not only can help analyze organizations’ data, but also be used to help in the creation and development of software applications that perform statistical analysis. It can be used for analytics to identify patterns and build practical models. This programming language is often used in statistical analysis and data mining. R analytics is data analytics using R programming language, an open-source language used for statistical computing or graphics. Predict confidently with real-time data-driven intelligence.Unify data intelligently for better access, trust, and control. ![]()
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