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The software development life cycle is an important process, and manual errors can cause failure at any time. For one thing, the magnitude of the errors can also be severe, and one should always be careful. There should not only be extensive testing but there should also be good documentation so that the errors can be identified hassle-free.
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R programming language consists of a comprehensive set of statistical and graphical methods. Machine learning algorithms and statistical computations are a couple of methods that are served by R. Being widely used in statistics, R is a great choice for developing statistical tools. Besides, R is formed of a collection of libraries that is built exclusively for the purpose of data science.
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