Last Updated on by
Features Of R Programming Which Every Data Scientists Should Know
R is one of the most in-demand programming languages & over the years its popularity has grown immensely since the advent of Data Science. Next to Python, R is the second most widely used programming language by Data Scientists. R supports data analytical operations with numerous packages & libraries.
Now, let’s have a look at some of the unique features of R
- Provides a Wide Array of Packages
One of the prime reasons for the rise in the popularity of R is because of the availability of numerous libraries. For instance, R has CRAN, a repository which currently holds over a 10,0000 packages. The functionalities of these packages are best fit for dealing with numerous data related operations. Based on the specific requirements user can make use of any of these packages. You can know in-depth about Packages in R with our advanced Data Science Training in Hyderabad program.
- Comprehensive Language
R is best known as a comprehensive programming language. This indicates that it is best suited for a wide range of operations ranging from statistical modeling & as well as software development. Most of the budding Data Scientists and Web Developers find it easy working with R. Developers will be finding it easy to develop applications with the robust package RShiny. Being an object oriented programming language, R has several distinct features which makes it best fit for many analytics operations.
- Possesses A Number of Graphical Libraries
R has a massive collection of graphical libraries which makes it as the ideal choice for most of the Data Scientists. Its complex graphical libraries like ggplot2, plotly, etc. are very crucial in delivering quality visualizations.
- Cross-Platform Compatibility
Another appealing feature of R programming is that it exhibits cross-platform compatibility. This means that it can run on any OS in any software environment. Users can simply run it across any hardware configuration without having the need for any extra workarounds.
The prominence of R in Data Science can’t be simply denied. You can Master Data Science with R & Python programming languages with our Data Science Course in Hyderabad program.