R Introduction

What is R Programming?

R is a powerful programming language for statistical computing and data analysis.

It was developed in the early 1990s by Ross Ihaka and Robert Gentleman, and released in 2000.

R is still maintained by the R Core Team.

Who uses R?

Here’s a list of some top-tier companies that you know that use R.

Facebook: For behavior analysis related to status updates and profile pictures.

Google: For advertising effectiveness and economic forecasting.

Twitter: For data visualization and semantic clustering.

Uber: For statistical analysis.

Airbnb: Scale data science.

ANZ: For credit risk modeling.

Why Choose R?

Here are some of the features that make R an appealing choice.

R is Popular: R ranks 22nd in the TIOBE index (a measure of popularity of programming languages).

R is Simple: R has a simple syntax similar to the English language.

R is Free: The R is developed under an open-source license, making it free to install, use, and distribute, even for commercial purposes.

R is Platform Independent: R works on different platforms (Windows, Mac and Linux).

R is Portable: Code written for one platform will work on any other platform.

R is Interpreted: Meaning that code can be executed as soon as it is written. This means, quicker development cycles.