R programming is one of the most popular languages for statistical computing and graphics. It provides a variety of techniques like graphics, linear and nonlinear modeling, time-series analysis, clustering, and others. It is highly extensible and offers an open-source route for all its participants. R programming language is the popular choice for every student because of its amazing features. Let us discuss the 3 most popular features of R programming.
Open-source language
R is an open-source programming language that is free of cost and does not require any license. Users can also customize their package and make further improvements, add more features according to the project requirements. Since it is available free of cost, students can simply download and install the software and start learning.
An active community
R is a continuously evolving language that is supported by a growing number of users. It has an active and engaging community that organizes seminars, training sessions, and boot camps for better learning. All the users are easily approachable, and you can connect them for any help you need. It is this community that encourages the use of R programming, leading to massive growth. You can easily get any type of R help online very easily.
Comprehensive language
R is a comprehensive language that provides services for statistical modeling and software development. It is an object-oriented language and has a robust package called Rshiny that helps in producing full-fledged web applications. Moreover, R is a highly interactive language and drives online storytelling when combines with Data Science.
R has umpteen features that support smooth programming. It is machine-independent and offers cross-platform operations. With the exploratory features mentioned above, R is, hands down, the most preferred language for statistical modeling.
