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Mastering Tableau 2023

Mastering Tableau 2023 - Fourth Edition

By : Marleen Meier
4.7 (36)
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Mastering Tableau 2023

Mastering Tableau 2023

4.7 (36)
By: Marleen Meier

Overview of this book

This edition of the bestselling Tableau guide will teach you how to leverage Tableau's newest features and offerings in various paradigms of the BI domain. Updated with fresh topics, including the newest features in Tableau Server, Prep, and Desktop, as well as up-to-date examples, this book will take you from mastering essential Tableau concepts to advance functionalities. A chapter on data governance has also been added. Throughout this book, you'll learn how to use Tableau Hyper files and Prep Builder to easily perform data preparation and handling, as well as complex joins, spatial joins, unions, and data blending tasks using practical examples. You'll also get to grips with executing data densification and explore other expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. Later chapters will teach you all about improving dashboard performance, connecting to Tableau Server, and understanding data visualization with examples. Finally, you'll cover advanced use cases, such as self-service analysis, time series analysis, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau. By the end of this book, you'll have mastered Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.
Table of Contents (19 chapters)
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17
Other Books You May Enjoy
18
Index

Summary

We began this chapter with an introduction to relationships, followed by a discussion on joins, and discovered the queries Tableau uses to generate the respective data. Unions come in handy if identically formatted data, stored in multiple sheets or data sources, needs to be appended.

Then, we reviewed data blending to clearly understand how it differs from joining. We discovered that the primary limitation in data blending is that no dimensions are allowed from a secondary source; however, we also discovered that there are exceptions to this rule. We also discussed scaffolding, which can make data blending surprisingly fruitful.

Finally, we discussed data structures and learned how pivoting can make difficult or impossible visualizations easy. Having completed our second data-centric discussion, in the next chapter, we will discuss table calculations, partitioning, and addressing.

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