Book Image

Introduction to R for Business Intelligence

By : Jay Gendron
Book Image

Introduction to R for Business Intelligence

By: Jay Gendron

Overview of this book

Explore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused approaches to help you answer questions in operations, marketing, and finance. In Part 1, you will learn about extracting data from different sources, cleaning that data, and exploring its structure. In Part 2, you will explore predictive models and cluster analysis for Business Intelligence and analyze financial times series. Finally, in Part 3, you will learn to communicate results with sharp visualizations and interactive, web-based dashboards. After completing the use cases, you will be able to work with business data in the R programming environment and realize how data science helps make informed decisions and develops business strategy. Along the way, you will find helpful tips about R and Business Intelligence.
Table of Contents (19 chapters)
Introduction to R for Business Intelligence
About the Author
About the Reviewers
R Packages Used in the Book
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 continue to develop your style by...