R is one of the most versatile languages for statistical modeling and visualization. It is extensively used in Data Science and Machine Learning
It was developed in 1993 by Robert Gentleman and Ross Ihaka in the University of Auckland, Auckland, New Zealand.
It combines both software programming and data analytics in one environment.
It is widely used by Software Programmers, Statisticians, Data Scientists, and Data Miners. It is one of the most popular analytics tool used in Data Analytics and Business Analytics.
- It is an open-source language
- It is also a cross-platform compatible language
- It is a great visualization tool
- It is used for data science and machine learning.
R is a programming environment specifically designed for data analysis that is very popular in the data science community. You’ll need to understand R if you want to make it far in your data science career.
To get started with the world of R programming, check out the following tutorial
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