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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

Creating interactive graphics using rCharts


The R implementation of the Leaflet JavaScript library is just one of many JavaScript visualization libraries translated into R. The popularity of JavaScript charting frameworks has risen because major media outlets and blogging sites have started focusing the content around awe-inspiring graphics. As these graphics enter mainstream media, this poses a question you should consider: How can I visualize my own data in new and different ways that are more appropriate for the questions I am trying to answer?

Note

Use case: Communicating E-mail Campaign Success As you can imagine, marketing the Bike Sharing brand means getting the word out about the business. E-mail marketing campaigns can encourage individuals to sign up for memberships through the Bike Sharing website. The marketing team has tried an A/B testing strategy of the following two types of promotional e-mail offers:

  • Getting 10% off a yearly membership

  • Giving the first month free

They would...

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