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Learning the new computer languages - "R for Data Science"
Essay Instructions:
Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. The goal of “R for Data Science” is to help you learn the most important tools in R that will allow you to do data science. After reading this book, you’ll have the tools to tackle a wide variety of data science challenges, using the best parts of R.
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Why I should Learn R-Tool
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Why I should Learn R-Tool
R provides users with multiple packages they can use in data analysis. Besides the interface that it provides for statistical analyses, R also offers users endless support that it gets from the data science maestros and developers around the world. The number of packages that can be downloaded from CRAN is around 7000. By the end of the course, all learners will have gained skills in using different R tools for different functions. Various reasons justify why I should learn R-Tool.
R is an open and free source language, and thus easily available. This means that I can download R from the internet and start using it without incurring any charges (Nickerson & Zodhiates, 2013). The code can also be modified to add one’s innovations to it, so I can modify it to meet my expectations. Further, R has no license restrictions since it is issued under the General Public License, and it can run anytime and anywhere.
R-tool is also a cross-platform that is compatible. One of its major advantages is that it allows users to run it on several operating systems and different software/hardware (Chavez, Scheiman, Vora, Pruitt, Tuttle, Iyer, & Ter-Ovanesyan, 2015). It is commonly used on Microsoft Windows (32-bit and 64-bit), GNU/Linus, Macintosh, and UNIX, among others. It has become cross-platform compatible and this will allow me to use it on different pla...
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