What Are The Different Features Of R Programming Language?

 


Introduction

R programming language is a widely used, open-source programming language that has been developed for extensive data analyses, statistical interference, and Machine Learning Algorithms. This programming language is easy to understand, can be integrated with tools used for data analysis, and offers graphical facilities to the users. The R programming language has been designed to carry out seamless statistical operations by companies. It supports data wrangling and offers over 10,000 packages in the CRAN Repository that cater to a business’s unique requirements. Furthermore, R enables quality plotting and graphing and enables users to generate eye-catching and readable reports. It is compatible with other programming languages like C, Java, C++, and Python. Moreover, R is a platform-independent programming language that supports ML and statistics. R has emerged as the most popular programming language for Healthcare, Academic Research, Fintech Companies, Social Media Data Journalism, Government (FDA and National Weather Service), Retail, Manufacturing, etc. It is widely used by R Programmers, Data Analysts, Data Scientists, Data Visualization Analysts, Data Architects, Database Administrators, Geo Statisticians, etc. Owing to a huge demand for R programming language professionals, various training institutes offer the R Programming Online Course to help aspiring professionals make significant career advancements.

This section explains various features of the R programming language. Read on to learn more. 

Features Of R Programming Language

R is an advanced programming langue. Several features make this programming language well-suited for extensive tasks like R Programmers, Data Analysts, Data Scientists, Geo Statisticians, etc.

Let us look at the features of the R programming language in detail.

1.      The R programming language is a simple and highly effective language for extensive research and operations.

2.      R programming is a robust data analysis software that facilitates extensive tasks related to data analytics and reporting.

3.      R programming is easy, well-designed, and an effective programming language with concepts like user-defined, conditional, looping, etc.

4.      R programming has a consistent set of tools to help professionals perform extensive data analysis tasks.

5.      The R programming language contains a suite of operators or calculations on different arrays, lists and vectors.

6.      The R programming language offers effective data handling and storage facilities to ensure effective functioning.

7.      R programming is an open-source, powerful, and extensible programming language.

8.      The R programming language provides extensible graphical techniques.

9.      This powerful programming language allows users to perform various calculations using vectors.

10.  R programming is an interpreted programming language.

Conclusion

To sum up, R programming is a popular open-source programming language that has been developed for extensive data analyses, statistical interference, and Machine Learning Algorithms. This programming language is widely used by R Programmers, Data Analysts, Data Scientists, Data Visualization Analysts, Data Architects, Database Administrators, Geo Statisticians, etc. The R programming language carries out seamless statistical operations and supports data wrangling. It offers 10,000+ packages in the CRAN Repository that cater to a business’s unique requirements. Furthermore, this programming language enables quality plotting and graphing and enables users to generate eye-catching and readable reports. R programming is a popular programming language and has generated huge demands for R programming experts in industries like Healthcare, Academic Research, Fintech Companies, Social Media Data Journalism, Government (FDA and National Weather Service), Retail, Manufacturing, and so on. Therefore, aspiring professionals must consider joining the R Programming Training in Noida to learn all the industry-relevant skills and build a career as R programming professionals. The R programming language is simple and facilitates extensive data analytics and reporting tasks. Furthermore, it offers effective data handling and storage facilities and provides extensible graphical techniques.  

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