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What is R Programming?

R is a programming language and free software environment for statistical computing and graphics, developed by Ross Ihaka and Robert Gentleman in 1993. The R language is widely used among data miners and statisticians for developing statistical software and data analysis.

It includes machine learning algorithms, linear regression, time series, statistical inference to name a few. Most of the libraries are written in R, but for the heavy computational task, C codes are preferred. R is not only preferred by academics, but many large companies also use R programming language, including Facebook, Google Uber and so on.     

Data analysis with R is done in a sequence of steps;

Program: R is a clear and accessible programming tool.

Transform: R is made up of a collection of libraries specially designed for data science.

Discover: This involves investigation of the data, refine your hypothesis and analyze them.

Model: R provides a wide range of tools to conquer the right model for your data.

Communicate: Integrate codes, graphs, and outputs to a report with R markdown or create shiny apps to share with the world.

R is used for Statistical inference, data analysis, and machine learning algorithms. It is used in the healthcare industry and academics.

 Easy guide to R Programming

Detail analysis like clustering, correlation, and data reduction are done with R.

The programming language is an important academic subject for students who are pursuing a bachelor’s degree or master’s degree in computer science. They need qualified and sincere experts, who have a good hold on this subject, to give needful assistance.

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R studio assignment is a chance to explore different areas of it and implement the technology with the help of the engineer. R studio tutors give you a chance to boost your knowledge about the subject and write an outstanding assignment.

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