R Programming Language beginners tutorial its uses and R Programming Language advantages
Hey Programmers! Today, in this article I will be going to do the introduction of R Programming Language to you. In this article, we will cover:
What is the R Programming Language?
What are the uses of the R Programming Language
What are the advantages of R Programming Language
R Programming Language tutorial for beginners
1. Introduction to R Programming Language
So, what is R Programming Language? Well, I know that most of the people maybe 45% of the majority know about R Programming Language but many of the people will not be addressed about R Programming Language. So, start the introduction, R Programming Language is dynamically or you can say weakly typed language. It is the next version of the S Programming Language which was developed by John Chambers. R is not a new programming language, it is old and its first initial version was released in 1995.It is developed by Ross Ihaka and Robert Gentleman. It is open-source and now in the supervision of the Core Team of R.
2. Uses of R Programming Language
The R Programming Language is only for those who are interested in Data Analysis, Machine Learning, and Statistical Analysis.
Data Analysis
The R is highly recommended for data analysis. You can deal with a lot amount of data with it.
Machine Learning
You can do an awesome machine learning with it. You can make strong types of algorithms with it. You can also program an algorithm like Google with it.
Statistical Analysis
So, what means with the statistical analysis. It means you can draw graphs and you can program data graphical interfaces with it. It will be amazing.
3. Advantages of R Programming Language
There are many advantages of R but here we shall talk about a few of them.
Learning
It is easy to learn with a friendly syntax.
Types of Programming
You can do procedural or Object-oriented or both type of programming with the R Programming Language.
Recommended by Data Scientists
It is highly recommended over Python programming language by the data scientists.
Working in different Domains
You can do work in different domains like Banking, Finance, Weather Forecasting, Support, etc, with the R Programming Language.
4. Tutorials for beginners
As a high demanding programming language R is gaining popularity day by day thus, there are a lot of worthy tutorials of R Programming Language on the internet. I have filter them all and selected the best tutorial out of them R Programming Language tutorial.
At last, I would like to say that R has an excellent scope in the field of machine learning, data analysis, and statistical analysis but I don't recommend learning R programming language if you don't want to go in the data scientist field.
I hope you like this post so, keep supporting igr and be igr.
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