Features of R Programming that will make you obsessed with R Language!
Whenever we tend to learn something new, we’re curious to know about its features. The same condition applies while learning R programming. We’re very eager to know about its features. R provides a wide variety of features that makes it stand alone from the crowd. These features of R programming are very easy to use and are universally acceptable.
In this article, we will see how R has emerged as one of the most popular languages. This emergence is mainly contributed to the features that R possesses. These features have made R a quintessential language for statistics. It is due to these features that R has evolved into the lingua franca of Data Science.
Take a deep dive into core concepts of R from our R Programming Tutorial Series
Latest Features of R Programming
R comes under the most popular programming languages for learning Data Science. It has advanced features that have enabled R to become one of the most widely used programming languages. R has several features which have contributed towards its overall popularity. In this article, we will have a look at some of the unique features of R:
1. Comprehensive Language
R is a comprehensive programming language, meaning that it provides services for statistical modeling as well as for software development. R is the primary language for Data Science as well as for developing web applications through its robust package RShiny. R is also an object-oriented programming language which is an addition to its procedure programming feature.
Learn everything about Object Oriented Programming in R
2. Provides a Wide Array of Packages
R is most widely used because of its wide availability of libraries. R has CRAN, which is a repository holding more than 10,0000 packages. These packages appeal to every functionality and different fields that deal with data. Based on user requirements and preferences, these packages provide different features to their users.
3. Possesses a Number of Graphical Libraries
The most important feature of R that sets it apart from other programming languages of Data Science is its massive collection of graphical libraries like ggplot2, plotly, etc. that are capable of making aesthetic and quality visualizations.
R is an open-source programming language. This means that it is free of cost and requires no licence. Furthermore, you can contribute towards the development of R, customize its packages and add more features.
5. Facilities for Various Industries
Almost every industry that makes use of data, utilises R language. While only the academic areas made use of R in the past, it is now being heavily used in industries which require to mine insights from the data.
The health industry makes use of R for drug design and analysing genomic strands. Manufacturing industries like Ford use it in their optimisation procedures. Furthermore, Airbnb and social media companies like Twitter use it to analyse its users.
Want to know about more applications of R? Then you must have a look at the R Applications Tutorial
6. Performs Fast Calculations
Through R, you can perform a wide variety of complex operations on vectors, arrays, data frames and other data objects of varying sizes. Furthermore, all these operations operate at a lightning speed. It provides various suites of operators to perform these miscellaneous calculations.
7. Can Handle all Sorts of Data
R provides excellent data handling and storage facilities.
In conjunction with data platforms like Hadoop, R facilitates the handling of structured as well as unstructured data that imparts a comprehensive data capability. Furthermore, R provides various data modeling and data operation facilities that are often a result of active interaction with the storage facility. It also provides extensions for SQL and Big Data.
8. R has an Active Community
R is continuously evolving. The contribution is fuelled by the growing number of users who are using R on a daily basis. As mentioned above, R is an open-source library that is supported and maintained by a large user-base. Not only this, R has an engaging community that organizes seminars, boot camps and other training sessions of R. Once you start your journey in R, you will never feel alone.
In this article, we went through the important features of the R programming language. We understood as to why R is the most preferred language for statistical modeling in the world. Due to these quintessential features, R has become widely popular. R has set its foothold in the Data Science industry and owing to its massive repository, it has become the most sought after programming language in the world.
Curious to know, how R is important for learning Data Science? Then, check out this tutorial on R for Data Science