R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, surveys of data miners, and studies of scholarly literature databases show that R is one of the most popular programming languages in statistics and data science.
- Open source: R is free and open source software, which means that it is available to everyone to use, modify, and redistribute. This makes it a popular choice for academic and commercial research.
- Powerful graphics: R has a wide range of built-in graphics capabilities, which makes it easy to create high-quality visualizations of data. There are also many third-party packages available that provide additional graphical functionality.
- Widely used: R is used by a large and active community of statisticians, data miners, and other data scientists. This means that there is a wealth of resources available, including books, tutorials, and online forums.
- Extensible: R is an extensible language, which means that it can be extended with new functions and packages. This makes it possible to tailor R to specific needs.
- Portable: R is a portable language, which means that it can be run on a variety of platforms, including Windows, Mac OS X, and Linux.
R is a powerful and versatile language that is well-suited for a wide range of statistical computing and graphics tasks. It is a popular choice for both academic and commercial research, and it is supported by a large and active community of users.
