Introduction
R is a prominent programming language and ubiquitous software environment for crucial processes such as graphics representation, reporting, and statistical analysis. It is readily available and the public environment and the R Development Core Team take care of its development. The programming language also contains binary versions which are pre-compiled and are applicable for numerous operating systems such as Windows, Linux, and Mac. It is an open-source environment for statistical analysis and primarily comes embedded with a command line interface. The programming language readily supports lexical scoping semantics that has been inspired by Scheme. It is a mainstream programming language, especially in the back-end processes of the Full Stack Development technology. Therefore, the career prospects in India are justifiably high. Leverage opportunities by enrolling in the certification course at R Programming Training Institute in Gurgaon and invest efforts for skill enhancement and growth.
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Now, let us see some aspects that make R Programming language a feasible choice.
Why Choose R Programming Language?
There are multifaceted beneficial reasons that make R Programming Language an ideal programming language. It is surely one of the prominent software environments for the report and statistical analysis. Check out the informative points down below:
- Nowadays, R Programming Language is a market-dominant software programming language for modernistic technologies such as data analysis and machine learning.
- It is a convenient choice for creating functions, packages, and objects.
- R does not depend on one specific platform. It means that it is applicable to cross-platform operating systems.
- The open-source nature of the R programming language makes it a highly-accessible and economical environment to work with.
- It is not a monolithic language and easily renders beneficial integration characteristics to allow it to support other languages such as C and C++.
- The programming language makes it possible for users to support disparate statistical packages and distinct data sources.
- It entails a far-reaching community of experts and thus, it is quite easy to seek help if you have doubts.
- Backend development is a critical aspect of Full Stack Development and R provides a robust environment for the developer to write codes. It makes it easy for programmers to configure codes quickly and easily and supports the convenient creation of functions.
Now, let us proceed to some Programming characteristics of R Programming Language, which is also the main topic of discussion in this article.
Programming Features of R Programming Language
There are multifarious intuitive attributes of R Programming Languages. Now, there are two kinds of features, namely: statistical and programming. Let us divide this discussion into two sections. You can assimilate facts about the programming features from the below points. Statistical features are discussed in the next section.
- R Packages: One of the foremost and notable programming attributes of R is the fact that it includes the widespread availability of libraries. It contains an option CRAN, which is the Comprehensive R Archive Network. Essentially, CRAN is a kind of repository entailing more than 10,000 packages.
- Distributed Computing: Distributed computing is a kind of model that ensures component sharing of computer systems within the computer networks. Thus, it yields advanced performance and a higher efficiency rate. Furthermore, new packages namely: multiplier and DDR also sophisticate this feature even further.
Now, let us check out one more section and take our discussion further into the main Statistical Features of R Programming Language.
Statistical Features of R Programming Language
The statistical features of the R Programming language deal with providing extensive functions that render a robust system for statistical analysis, graphics representation, and reporting. Let us see a few of these prominent features:
- Basic Statistics: It allows precise calculation of important standard statistical parameters which also includes Measures of Central Tendency. It primarily includes parameters like mode, median, and average. These are standard parameters as well, and thus, R ensures that proper calculation of mean, mode, and median is maintained.
- Statistical Graphics: R consists of many facilities that create and develop many intriguing statistical graphics. It contains a plethora of functionalities for disparate plot types such as mosaic plots, graphic plots, biplots, etc.
- Probability Distributions: It is needless to say that probability distributions play a significant role in the statistics domain. Thus, R supports distinct types of probability distributions such as Normal Distributions, Chi-Squared Distributions, Binomial Distributions, etc.
- Data Analysis: R supports a huge, cohesive, and integrated accumulation of tools applicable to data analysis.
Conclusion
R Programming Language is a widely-used programming language applicable in industrial applications for statistical analysis, reporting, and graphical representation. It has a huge function range and is primarily utilized in the Full Stack Development process. The widespread utilization in the top company in main domains makes it a convenient career option and there are far-reaching benefits of obtaining R Programming Online Training In India. A certification course helps in tuning your knowledge as per the industry standards and elevates your profile points.