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  • Roblox
    Roblox is the ultimate virtual universe that lets you create, share experiences with friends, and be anything you can imagine Join millions of people and discover an infinite variety of immersive experiences created by a global community!
  • The R Project for Statistical Computing
    R is a free software environment for statistical computing and graphics It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS To download R, please choose your preferred CRAN mirror
  • R (programming language) - Wikipedia
    R is free and open-source software distributed under the GNU General Public License [3][11] The language is implemented primarily in C, Fortran, and R itself Precompiled executables are available for the major operating systems (including Linux, MacOS, and Microsoft Windows)
  • LEARN R [Introduction, Data Structures, Data . . . - R CODER
    This course is a set of tutorials sorted by category in which you will learn all the basics (and some more advanced content) to handle the R programming language
  • What Is R Programming? Definition, Use Cases and FAQ
    R is a free, open-source programming language tailored for data visualization and statistical analysis Find out more about the R programming language below
  • R Programming Language - Introduction - GeeksforGeeks
    R is a programming language and software environment that has become the first choice for statistical computing and data analysis Developed in the early 1990s by Ross Ihaka and Robert Gentleman, R was built to simplify complex data manipulation and create clear, customizable visualizations
  • RStudio Education
    R is not just a programming language, but it is also an interactive ecosystem including a runtime, libraries, development environments, and extensions All these features help you think about problems as a data scientist, while supporting fluent interaction between your brain and the computer
  • The Comprehensive R Archive Network
    R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc


















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