Various benefits of the R language are mentioned below, which will help you to know the concept:
1. Open Source
R is an open-source programming language. This means that anyone can work with R without the need for a license or a fee. Furthermore, you can contribute to the development of R by customizing its packages, developing new ones, and resolving issues. R Language Certification is designed for software programmers, statisticians, and data miners who are looking forward to developing statistical software using R programming.
2. Exemplary Support for Data Wrangling
R provides exemplary support for data wrangling. The packages like dplyr, readr are capable of transforming messy data into a structured form.
3. The Array of Packages
R has a vast array of packages. With over 10,000 packages in the CRAN repository, the number is constantly growing. These packages appeal to all the areas of industry.
4. Quality Plotting and Graphing
R facilitates quality plotting and graphing. Popular libraries like ggplot2 and plotly advocate for aesthetic and visually appealing graphs that set R apart from other programming languages.
5. Highly Compatible
R is highly compatible and may be paired with many other programming languages like C, C++, Java, and Python. It can also be integrated with technologies like Hadoop and various other database management systems as well.
6. Platform Independent
R is a platform-independent language. It's a cross-platform programming language, meaning that it can be run quite easily on Windows, Linux, and Mac.
7. Eye-Catching Reports
With packages like Shiny and Markdown, reporting the results of an analysis is extremely easy with R. you'll make reports with the data, plots, and R scripts embedded in them. You can even make interactive web apps that allow the user to play with the results and the data.
8. Machine Learning Operations
R provides various facilities for carrying out machine learning operations like classification, and regression and also provides features for developing artificial neural networks.
9. Statistics
R is prominently called the lingua franca of statistics. This is the main reason why R is dominant among other programming languages for developing statistical tools.
10. Continuously Growing
R is a constantly evolving programming language. It's a state-of-the-art technology that provides updates whenever any new feature is added.