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R programming language’s importance in data science.

Okay, I got to say at first glance it does seem like I need to brush up on my spellings, but, fortunately, that's not the case. R is a free software and programming language which is developed as an environment for graphics and statistical computing and is supported by the R Foundation for Statistical software. Developing data analysis and statistical software by data miners and statisticians are the fields where the R language is widely used.<br>

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R programming language’s importance in data science.

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  1. R programming language’s importance in data science. Introduction Okay, I got to say at first glance it does seem like I need to brush up on my spellings, but, fortunately, that's not the case. R is a free software and programming language which is developed as an environment for graphics and statistical computing and is supported by the R Foundation for Statistical software. Developing ​data analysis and statistical software by data miners and statisticians are the fields where the R language is widely used. The popularity of this language has been increasing substantially over the past couple of years. The source code of this language has been written using FORTRAN, R itself and C. With the different levels coming in the part of Artificial Intelligence, R language is developing its own unique space for the sake of programming. Linear and non-linear modeling along with various classical statistical tests with clustering and classification are the techniques used in the R programming language. Importance and features of R as a programming language in data science: So, now that we know what R is and a brief background of the language we can shift focus back to R as a programming language. A wide variety of statistical as well as graphical techniques are being offered by this language for programming. It is an open-source and platform independent language for programming that means you don’t have to pay any fees or require a license for using it. Anybody can use it for programming purposes. New ones can be developed due to this feature of the programming language. It offers features for getting structured data from a messed up one thus composing complex data into simpler forms. Platform independent means they can be understood easily as well as easily

  2. written. You can write it on Linux or Windows and even MAC. It has features that allow to generate artificial neural networks, regression and many more thus making it an easy machine learning operation. The R programming language keeps on evolving on a regular basis with its newer versions available just after the release thus making it convenient. The main feature is the publication quality that is so well designed so that plots can be produced which includes formula and mathematical operations. System of R as a programming language: The main use or implementation of the R language is being done for increasing speed and also increasing the extensibility. In order to share ideas and learn from them as well as sharing of networks, R has set up a community. The storage facility and data handling is another feature of the R language. There are many other features related to R as a programming language that include ❏ Particular matrix in order to solve a given problem with the help of a suite of operators used for calculations or operations. ❏ Loops and conditions and functions that are user-defined making it a simple yet very effective language, which is well developed too. ❏ A large number of tools in order to perform data analysis. Now, as you came to know so much about the importance and features of the ​R programming language, I am quite sure you really want to know more about it. Well, you can join many online courses that are available either free or with a very low amount of fees. Also, learning or getting such courses are very helpful for your future.

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