Book Image

Mastering Tableau

By : David Baldwin
Book Image

Mastering Tableau

By: David Baldwin

Overview of this book

Tableau has emerged as one of the most popular Business Intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. This book will empower you to become a master in Tableau by exploiting the many new features introduced in Tableau 10.0. You will embark on this exciting journey by getting to know the valuable methods of utilizing advanced calculations to solve complex problems. These techniques include creative use of different types of calculations such as row-level, aggregate-level, and more. You will discover how almost any data visualization challenge can be met in Tableau by getting a proper understanding of the tool’s inner workings and creatively exploring possibilities. You’ll be armed with an arsenal of advanced chart types and techniques to enable you to efficiently and engagingly present information to a variety of audiences through the use of clear, efficient, and engaging dashboards. Explanations and examples of efficient and inefficient visualization techniques, well-designed and poorly designed dashboards, and compromise options when Tableau consumers will not embrace data visualization will build on your understanding of Tableau and how to use it efficiently. By the end of the book, you will be equipped with all the information you need to create effective dashboards and data visualization solutions using Tableau.
Table of Contents (18 chapters)
Mastering Tableau
Credits
About the Author
www.Packtpub.com
Preface

Chapter 13. R Integration

In February 2015, a student of mine came into class and said, "Tableau stock took quite a jump this morning! What happened?" I soon found out. Gartner had just released their report for Business Intelligence and Analytics Platforms. As you can see in this image, Tableau was clearly marked as the leader:

Although Gartner clearly ranked Tableau far in front for Ability to Execute, note that at least five platforms scored better for Completeness of Vision. Why? One major reason can be found in the text of the report where Gartner states, "other vendors, such as SAS, SAP, and Tibco, have more advanced native [analytic] capabilities."

Tableau is by no means ignorant of this criticism and has answered in two ways, firstly by releasing increasingly sophisticated native analytic capabilities, and secondly by providing R Integration. Recent examples of native advanced analytics include clustering (10.0) and the correlation function (10.1, which, at the time of writing, is...