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5 changes: 5 additions & 0 deletions guides/data_science/R.md
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#The programming language R was named after its creators, Ross Ihaka and Robert Gentleman. Created in 1993 to commemorate both of its creators sharing this letter as the first of their name, R is mainly used for statistics, data analysis and machine learning. The official software is open-source and free, which makes it popular among academics, government bodies and other industries. Some tools can be easily paired with R to create scripts and straightforward visualizations, such as RStudio. Other packages available can also increase R�s capabilities, like knitr and Sweave, allowing the user to integrate R with LaTeX, for instance. Some companies even provide paid extensions with commercial support to the famous programming language.

#R is also considered an alternative to other data science softwares, like Tableau, PowerBI and SAS. Although considered a more sophisticated tool because of its procedural nature, R is often preferred as mentioned earlier due to its open-source availability.