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What is R programming?

R is a programming language developed by Robert Gentleman and Ross Ihaka in 1992. The reason people consider R is better than Python is that it possesses an extensive catalogue for graphical and statistical methods. It includes linear regression, a machine learning algorithm, time series and statistical interface. Most of the R Libraries are written in R. Although for high-end computational tasks, other languages such as C, Fortran and C++ are preferred. R is not only accredited by academics but various big corporations such as Airbnb, Google, Uber, Facebook and many others. Data analysis with R is done in a series of steps which are programming, then transforming, discovering modelling and communicating the results. In academics, Professor often asks computer science students to provide programming projects based on R programming. They are complex, high end and challenging; that’s why we advise you to take our R programming assignment help.

Different steps of R programming

Here are some of the finest attributes of R language:

• Program: R programming is clear and an accessible programming language.
• Transform: It makes R of a series/collection of libraries which are designed for data science.
• Discover: This attribute investigate the data and try to refine your whole hypothesis in order to analyze them.
• Modal: R provides an array of basic tools to capture the perfect protocol modal for your data.
• Communicate: This function of R programming language integrate codes, outputs and graphs to create a report with R markdown or build a template of shiny apps to share with the entire world.

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