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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

Chapter 7. Visualizing the Datas Story

 

"When you tell a story, people lean in; when you start talking about data, their eyes glaze over."

 
 --Eshelman-Haynes, Gendron, S. Hall, & B. Hall (2016)

The data you analyze has a story to tell, and your future as a data storyteller is as limitless as your imagination. Visualization is the act of transforming the complexity of numbers into a picture that tells a story. This chapter touches on the intersections between art and analysis. We will look at the following four topics to introduce this relationship:

  • Visualizing data
  • Plotting with ggplot2
  • Geo-mapping using Leaflet
  • Creating interactive graphics using rCharts

Your tools will include your imagination and a wide array of R packages designed to help you produce stunning visualizations. We cannot cover the syntax and logic of each package in detail, so consider this chapter a starting point. Begin your exploration of data visualization in R with this guide and...

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