R is a programming language for statistical computing and graphics supported by the R Core Team and the R Foundation for Statistical Computing. Created by statisticians Ross Ihaka and Robert Gentleman, R is used among data miners, bioinformaticians and statisticians for data analysis and developing statistical software.
R is an interpreted language, which means that users access its functions through a command-line interpreter.
Unlike languages such as Python and Java, R is not a general-purpose programming language. Instead, it’s considered a domain-specific language (DSL), meaning its functions and use are designed for a specific area of use or domain.
In R’s case, that’s statistical computing and analysis. By extension, R is commonly used for all manner of data science tasks.
R is equipped with a large set of functions that enable data visualizations, so users can analyze data, model it as required, and then create graphics. In addition to the language’s in-built graphical functions, there are numerous add-ons or modules that facilitate this.
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