What Are The Top 6 Reasons To Study R Programming?
Introduction
If you work in software engineering, you have probably heard of the R programming language. It is one of the most widely used programming languages for statistical computation and graphics. However, any competent software programmer in statistics and graphics must have substantial R programming skills. So, we suggest enrolling in the R Programming Training Institute in Noida if you want to employ R programming. Such an institute will help you understand your statistical tools and applications. Also, it assists data analysts in swiftly and efficiently collecting, cleaning, analyzing, and displaying data.
R Programming: Meaning
R is one of the most widely used computer languages for statistical computations and graphics. Software engineers, data analysts, statisticians, and other data science professionals can frequently use it. Moreover, this programming language is a GNU project that offers several statistical and graphical methods like linear and nonlinear modelling, time series analysis, clustering, classical statistical trials, and classification.
Furthermore, the R programming language is flexible and provides an open-source environment, allowing programmers to use it for free. Nevertheless, you must use this software in accordance with the conditions of the Free Software Foundation's GNU General Public License. The R programming language integrates and operates on several UNIX platforms and comparable systems, such as FreeBSD, Linux, Windows, and macOS.
Crucial Reasons to Learn R Language
You've probably heard the term "R programming" a few times and have had a lot of questions. But do you know the reasons why you should learn the R programming language? Let's find out!
Open Source
R is a free and open-source programming language. It is simple to use and install R once, then begin having fun with it. Also, you may even change the code and add your own twists to it. However, R has no licensing limitations as it comes under the GNU General Public License.
Cross Platform Compatability
One of the most significant advantages of R is that you can run this language on several operating systems and software/hardware. However, you may operate R smoothly regardless of whether you are using a Linux, Mac, or Windows machine. So, if you're working on a Windows machine and your customer is working on a Linux system, don't worry, it will execute on both.
Huge Community
Suppose you are working on a financial project to determine how many credit card transactions are fraudulent, and you hit a snag when developing the categorization model. Fortunately, R has a large community to whom you may turn if you need assistance. However, you may always seek help from experts who have worked on comparable projects. Also, you may cooperate with others to discuss ideas, complete projects, and compete in Data Science competitions.
Comprehensive Library
R has over 10,000 packages and millions of intrinsic functions to meet multiple purposes. Data Manipulation, Data Visualization, Machine Learning, Statistical Modeling, Imputation, and a plethora of additional tools are available for experimentation. So, whatever your need is, R takes a product from its hat to assist you. You can develop your package and contribute to the community because R is open-source.
Great Visualization
To build attractive visuals, R contains packages like ggplot2, ggvis, and Plotly. However, these programs assist in the creation of print-quality graphs that you may publish in any international publication.
High Paying jobs
As per the survey, R programming was the highest-paid IT expertise. However, experts with R receive salaries worth more than $110,000 annually.
Conclusion
Hopefully, you will find this article informative. We have compiled the top reasons to learn the R language. These reasons may compel you to take up a course in a similar domain. So, if you are also looking for a career in the same industry, we suggest you enrol in the R Programming Online Course.