5 Features of R Programming That Everyone Must Know

Posted by Mark Nathon on February 9th, 2021

R programming is one of the most popular languages among professionals right now, for statistical computing.  It provides a variety of techniques for data analysts like graphics, linear and nonlinear modeling, clustering, and others. It is highly extensible also. Let us discuss the 5 most popular features of R programming.

1) Open-source

R is an open-source programming language means it's available to all with open source code. It is 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.

2) Strong graphical library

An important element that sets R apart from other programming languages is its huge collection of graphical libraries like ggplot2, potly, etc. R can produce strong graphics making an appealing aesthetic and quality visualization. It also has an extended library for interactive graphics. This makes data visualization extremely easy and comfortable. Be it concise charts or interactive flow diagrams, R has it all. If you are a student looking for easy data visualization tools, you can get R homework help. If you find it difficult to understand in schools and colleges, you can also choose to learn online with FavTutor’s easy and customized sessions.

3) Wide array of packages

R has CRAN (Comprehensive R Archive Network) that has over 10,000 different package extensions that help with all data science problems. R has a package available for every requirement: high-quality graphics, quantitative analysis, machine learning, or web application development. These packages appeal to every functionality and different purposes- both academic and learning and provide valuable features to the users.

4) Easy data handling

R can handle all sorts of data and provides excellent storage facilities. It facilitates the handling of structured and non-structured data and provides various data modeling operations. These operations further drive interaction with the storage facilities.

5) Performs fast calculations

R is used to perform simple as well as complex statistical and mathematical calculations at lightning speed. It operates on large data sets and provides calculations on a wide variety of data objects. Further, it also provides complex operations on vectors, arrays, data frames, and data objects. R can be used by students to perform faster calculations of complex data sets and analyze their information better.

Now you know the 5 big benefits of R programming which will remind you always why this is going to the thing you should learn in 2021.