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  • 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)
  • What is R? - An Introduction to The Statistical Computing Powerhouse . . .
    Learn everything you need to know about the R programming language and discover why it is the most widely used language in data science
  • 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
  • What Is R Programming? Use Cases and FAQ - Coursera
    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 is one of the skills employers in the data science industry most frequently request
  • 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
  • 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
  • R Programming Language Explained (Careers, Use Cases, Difficulty)
    Explore what the R programming language is, its features, pros and cons, use cases, careers, and how it compares to Python Learn how R is used in data science and how easy it is to learn




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