#statistical programming language

Aspiring data scientists learn programming with R because of many reasons: the most important reason being that it is the most popular (and in demand) scripting language constructed for statistical computation. Let us check the various advantages of using R as a programming language and how it can help every aspiring business analyst in data mining.

Free and open source programming language

Being freely available, one can anytime download R from the internet and begin learning how to use this programming language. Also, with a little of practice, one can add innovations to it by modifying the code. As such, R language has no license restrictions and works on all platforms. So even beginners can start working on it without worrying to pay the license fees.

A cross-platform solution

Another advantage of R is that it is highly compatible on most of the OS. So whether you have a Macintosh or a Linux, the same program can be executed with little difference. Running on both 32 and 64-bit processor, R has demonstrated equal expertise on any software/hardware specification you choose to operate on.

Most efficient Statistical programming language

Devised by top-notch computational statisticians, R is a product of international collaboration. Being recognized as the most efficient and advanced statistical programming language worldwide, R offers a platform where users can deal with largely complex objects and exchange data sets in MS Excel. Keeping the track of every computational step, R ensures a high level of accuracy and that is one of the reasons why most of the technical documentation and intricate visualizations are executed on R.

R can be related to other programming languages

Once you understand how R can help you in business analysis, you will realize how easily the existing software's (and even most of the emerging software's) can be integrated with various R packages, therefore adding extra productivity to it. Being quite user-friendly while importing data from other software's such as MS Excel, MS Access, Oracle, SQLite etc., R is compatible in terms of getting connected to various database packages.