Why R? Pros and Cons of using R language

R language (the name is partly based on names of the first two R authors – Robert Gentleman and Ross Ihaka) is a free language for statistical computing and graphical data representation.

Well-known as a Data Science Language, R is commonly used by DevCom analysts for calculation, graphical display, and data manipulation. It turned out that while being an essential tool, R has its own pros and cons we’d like to share with you!

R Pros and Cons

Pros

Among pros our experts point out its interactive graphical capabilities. With R you can visualize data through different charts, maps, plots and other graph types.

Being open source software, R community supplies you with all the required tools like access to cutting-edge extensions assisting in many business and science fields. Another software advantage is a cross-platform ability. R runs on many operating systems like GNU/Linux, Macintosh, and Microsoft Windows. As a result, you can easily use R as a perfect tool for proof of concepts, researches and experimenting.

Cons

Though R has many pros, one of the biggest challenges the R faces is a poor memory management, low speed, and efficiency, especially when working with large data sets. That’s why it may not be the best platform for production and enterprise level system.

Despite all cons, DevCom Analysts highly recommend R if you work with special statistical and mathematical calculations as well if you need to use specific data visualization. Ideally R goes well with prototypes and projects at PoC stage.

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