Features of R that will make you obsessed with R Language!

When we learn something new, we want to know about its characteristics. The same situation exists when learning R programming. We're very interested in learning about its features. R has a wide range of features that set it apart from the crowd. These R programming features are simple to use and universally accepted.

In this article, we will look at how R has become one of the most popular programming languages. This emergence is primarily due to the characteristics of R. R has become the de facto statistical language due to these characteristics. R has evolved into the Data Science lingua franca as a result of these features.

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R Programming's Most Recent Features

R is one of the most widely used programming languages for learning Data Science. Its advanced features have helped R become one of the most popular programming languages. R has a number of features that have contributed to its overall popularity. In this article, we will look at some of R's unique features:

1. Extensive Language

R is a general-purpose programming language, which means it can be used for both statistical modelling and software development. R is the primary language for Data Science and web application development, thanks to its robust package RShiny. R is also an object-oriented programming language, which complements its procedure programming capability.

2. Offers a Diverse Range of Packages

R is widely used due to the abundance of libraries available. R has CRAN, which is a repository with over 10,000 packages. These packages are appealing to all functionality and data-related fields. These packages offer different features to their users based on their needs and preferences.

3. Has a number of graphic libraries

The most important feature of R that distinguishes it from other Data Science programming languages is its vast collection of graphical libraries, such as ggplot2, plotly, and others, capable of producing aesthetically pleasing and high-quality visualisations.

4. Open-source

R is a free and open programming language. This means it is free and does not require a licence. You can also contribute to R's development by customising its packages and adding new features.

5. Cross-Platform Support

R allows for cross-platform compatibility. It can run on any operating system and in any software environment. It can also run on any hardware configuration without the need for any additional workarounds.