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R is a free software environment for statistical computing and graphics Over time, it has gained popularity among statisticians, data scientists and researchers because of its. It compiles and runs on a wide variety of unix platforms, windows and macos
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[2][10] 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). 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.
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 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
