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Mastering Tableau

Mastering Tableau

By : Jen Stirrup, Baldwin
4.4 (10)
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Mastering Tableau

Mastering Tableau

4.4 (10)
By: Jen Stirrup, 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 (14 chapters)
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Preface

So what is this book about? The title certainly points in the right direction: Mastering Tableau. The word Mastering implies a journey to a level of competency beyond mere familiarity or superficial knowledge. The word Tableau, of course, limits the scope of a particular software package. Let’s extend the title by one word in order to hone the focus: Mastering Tableau Desktop. The word Desktop further narrows consideration by communicating that this book is not focused on Tableau Server, although there is a chapter dedicated to interacting with Server. Nor does this book dive deep into topics beyond the realm of Tableau, though other technologies such as R and SQL are discussed as they pertain to Tableau. Furthermore, this book is not focused on data visualization or architectural theory per se, though these topics are explored and every attempt is made to adhere to sound methodology as technical problems are discussed. Instead, this book attempts to build on a foundation of an already basic understanding of Tableau Desktop so as to provide a theoretical and practical basis for solving real-world challenges in an efficient and elegant manner. Along the way, many tips and tricks for use in everyday work are discussed and exercises with careful step-by-step instructions and commentary are provided.

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