Introduction to R

R is very popular for data analytics which was created by Ross Ihaka and Robert Gentleman in 1993. Many big companies like Google, Facebook, Airbnb etc uses this language for data analytics. R is good for software developers, statisticians, researchers and data miners.

Key Features

  • Interpreted programming language(no compilation required)
  • Provides highly extensible graphical techniques.
  • Good community support
  • Free and open-source
  • Handles data very effectively.
  • Ranks in top 10 according to TIOBE 2020 Index and gaining more popularity.

Why you should learn R

  • R is highly flexible and it is evolving.
  • R is open-source and it is free to use
  • R is great for data science
  • R developers gonna have lucrative Career
  • Powerful visualization libraries.
  • You can also develop amazing web applications.
  • Great community support

Why R is so popular?

  • R is one of the most go-to languages for data science.
  • R is used at Facebook and Twitter for data analysis.
  • R is used in almost all industries because of it's powerful capabilities.
  • Huge collection of packages
  • Many statisticians, researchers and scholars prefer R for data analysis.
  • R makes machine learning a lot more easy and approachable.
  • R is very popular for it's data visualization capabilities as well.

Installation

On Windows

  1. Download the software from R Downloads
  2. Run the executable file to install R
  3. Follow the installation steps by providing path etc and finish installation.

On Linux

  1. Most of the Linux distributions contains R by default. You can check by entering R in your terminal.
  2. Run the below command to update the required files
sudo apt-get update
  1. Run the below command to install R
sudo apt-get install r-base

Using OneCompiler

  1. You don't need to install any software or compiler.
  2. Just goto OneCompiler and choose the programming language as R and enjoy programming without any installation.

Sample Program

print("Hello, World!")

Try yourself here

  • print -- It is used to display the data to the console.
  • cat -- you can also use cat to display data to console.
  • # -- is used to comment a line in R and it does not support multi-line comments.