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Introduction to R for Business Intelligence

You're reading from   Introduction to R for Business Intelligence Profit optimization using data mining, data analysis, and Business Intelligence

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Product type Paperback
Published in Aug 2016
Publisher Packt
ISBN-13 9781785280252
Length 228 pages
Edition 1st Edition
Languages
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Author (1):
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Jay Gendron Jay Gendron
Author Profile Icon Jay Gendron
Jay Gendron
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Table of Contents (13) Chapters Close

Preface 1. Extract, Transform, and Load FREE CHAPTER 2. Data Cleaning 3. Exploratory Data Analysis 4. Linear Regression for Business 5. Data Mining with Cluster Analysis 6. Time Series Analysis 7. Visualizing the Datas Story 8. Web Dashboards with Shiny A. References
B. Other Helpful R Functions C. R Packages Used in the Book
D. R Code for Supporting Market Segment Business Case Calculations

Summary


The material in this chapter truly gave you a lot of information to absorb. We hope that you will explore the additional resources in the Learn more sections to continue building on the foundations covered in the sections. You learned about visualizing data from a cognitive perspective and underlying principles to creating visuals that catch someone's attention and help them interpret the data. The variety of packages presented showed you how to generate geo-mapping and charting projects. The use cases provided you with examples that were not only interesting for users to look at, but also interactive to help engage them. These interactive graphics can later become elements of online web pages, applications, or even dashboards because JavaScript is a Web-ready technology.

In the final chapter of this book, you will learn how to create a classic product of business intelligence-the dashboard. It will focus on the use of R's web application framework, called Shiny, as a tool to impress...

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