Book Image

Mastering Tableau 2021 - Third Edition

By : Marleen Meier, David Baldwin
Book Image

Mastering Tableau 2021 - Third Edition

By: Marleen Meier, David Baldwin

Overview of this book

Tableau is one of the leading business intelligence (BI) tools that can help you solve data analysis challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. Updated with fresh topics including Quick Level of Detail expressions, the newest Tableau Server features, Einstein Discovery, and more, this book covers essential Tableau concepts and advanced functionalities. Leveraging Tableau Hyper files and using Prep Builder, you’ll be able to perform data preparation and handling easily. You’ll gear up to perform complex joins, spatial joins, unions, and data blending tasks using practical examples. Next, you’ll learn how to execute data densification and further explore expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. You’ll also learn 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, and geo-spatial analysis, and connect Tableau to Python and R to implement programming functionalities within it. By the end of this Tableau book, you’ll have mastered the advanced offerings of Tableau 2021 and be able to tackle common and advanced challenges in the BI domain.
Table of Contents (18 chapters)
16
Another Book You May Enjoy
17
Index

Visualization type rules

Since there's a chapter dedicated to visualization types, Chapter 8, Beyond the Basic Chart Types, and since much of this book explores various visualizations, we won't take the time here to delve into a lengthy list of visualization type rules.

If you want to get additional information on this topic, I highly recommend checking out the Visual Vocabulary that Andy Kriebel created, and which was inspired by the Financial Times (https://ft-interactive.github.io/visual-vocabulary/), available on Tableau Public: https://public.tableau.com/profile/andy.kriebel#!/vizhome/VisualVocabulary/VisualVocabulary.

However, it does seem appropriate to review at least a couple of rules. Here, we will consider keeping shapes simple and effectively using pie charts.

Keep shapes simple

Too many shape details impede comprehension. This is because shape details draw the user's focus away from the data. Consider the following exercise using...