Have you taken a statistics class during college?
If yes, then you might have heard about R Programming.
If no, it’s fine you’ll get to know more about R, in this article.
What is R?
R is an open source programming language originally created for statistical computing and graphics. It is supported by R Foundation for Statistical Computing.
Today, the R language is popular for data science, machine learning, data analysis, and data mining.
Why R Programming?
R has a great echo system for data manipulation, calculation, and graphical visualizations. It includes:
- R is Free to use:
R is freely available, means you can download R and start working on it. R is Open Source programming language and licensed under the GNU (General Public License).
- R is Cross-Platform:
A great benefit of R is that an R script can run on any Operating system and Software/Hardware. It is available for Windows, Mac, Linux, UNIX and runs seamlessly across any operating system.
- R is powerful for numerical computation:
R is maintained by top statisticians and computer language designers. It has powerful numerical analysis tools for linear algebra, differential equations, and stochastic analysis.
- R supports Machine Learning:
R is often called language for data science. It has robust Machine Learning libraries for solving real-world problems. It also has Deep Learning libraries (Keras, TensorFlow).
- R has great visualization tools:
The graphs generated with R are high in quality and comparable to publication graphs, it includes static and dynamic graphs depending upon the packages chosen. The graphical capabilities of R are fully programmable, and the quality surpasses most other statistical and graphical packages
- R has a Diverse Community:
From Medical to Finance sector, R has a large, active, and growing community of users. It alone 95,000+ members in LinkedIn’s R group and more than 400 R Users groups meetup currently in existence. The large community ensures that you get support and help with your problem in every possible way.
Companies using R?
From the social media companies to search engine giants, most of them uses R.
- Facebook – behavior analysis related to the news feed and profile pictures
- Google – advertising effectiveness and economic forecasting
- Twitter – data visualization and semantic clustering
- Microsoft – acquired Revolution R and uses in Machine Learning Server
- IBM – business intelligence and analytical tools
The popularity of R by Industry
R is popular amongst the diverse industry. It’s become more popular every year.
R has CRAN
R has a great package management system called CRAN (Comprehensive R Archive Network). It provides eco-system for R packages to make your work easier.
Beside this, R has lots of things you need to work with data. The R ecosystem is changing with an expansion of the data science field. In general, R language has contributed to its value as a programming language and as a data analysis environment.
If you want to work with data science, R can be your best tool.
Note: To get started, you can follow this tutorial to install R and RStudio on your computer.