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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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Visualization design theory

Any discussion on designing dashboards should begin with information about constructing well-designed content. The quality of the dashboard layout and the utilization of technical tips and tricks do not matter if the content is sub-par. In other words, we should consider the worksheets displayed on dashboards and ensure that those worksheets are well designed. Therefore, our discussion will begin with a consideration of visualization design principles. Regarding these principles, it's tempting to declare a set of rules:

  • To plot change over time, use a line graph
  • To show breakdowns of the whole, use a treemap
  • To compare discrete elements, use a bar chart
  • To visualize correlation, use a scatter plot

But of course even a cursory review of the preceding list brings to mind many variations and alternatives! Thus, in this chapter, we will consider various rules while always keeping in mind that rules (at least rules such as these) are meant to be broken.

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