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 8 most popular features of R programming.
1) 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.
2) 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.
3) 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 must learn R programming and its features. 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.
4) Integration with other technologies
R can be integrated with different technologies, software applications, and programming languages. It can be paired with data processing and distributed computing technologies like Hadoop and Spark to support large scale data processing. It can also be integrated with other programming languages like Java, Python, C, C++, and others.
5) 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.
6) 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.
7) 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.
8) 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.
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. So, if you are a student looking to take your first step towards R programming, you can connect with us at FavTutor and our R tutor experts will help you understand the subject from scratch.