Titlebook: R for Business Analytics; A Ohri Book 2013 Springer Science+Business Media New York 2013 Business Analytics.Data Mining.Data Visualization

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Manipulating Data,s associated with it. In the case of business analytics data, these challenges or constraints can have a marked effect on the quality and timeliness of the analysis as well as the expected versus actual payoff from the analytical results.

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R Interfaces,earning to perform tasks in R by using a GUI instead of the command line. In addition, we will learn how to interface to R from other software as well as use it from an Amazon cloud computing environment. We will also discuss the relative merits and demerits of various R interfaces.

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Why R,In this chapter we introduce the reader to R, discuss reasons for choosing R as an analytical and not just a statistical computing platform, make comparisons with other analytical software, and present some broad costs and benefits in using R in a business environment.

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Data Mining Using R,Data mining is a commonly used term that is interchangeably used with business analytics, but it is not exactly the same.

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