Book Image

Mastering Tableau 2023 - Fourth Edition

By : Marleen Meier
Book Image

Mastering Tableau 2023 - Fourth Edition

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)
17
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18
Index

Introducing LODs

Tableau’s default is to show measures in a view based on the dimensions also present in the view. If you have a dashboard with Sales data and dimensions like State and City, and you drag the State and Sales data onto the view, the Sales data will be divided by State, showing you Sales per State. If you want to divide the Sales data further into smaller chunks, you might add the City field, resulting in Sales data per City, per State. LODs can manipulate this default behavior.

After completing this chapter, you will be able to divide or partition measures by dimensions that are not in the view and show measures using fewer dimensions than are visible in the view.

To do this, we will build and use two playgrounds. Delivering reports as required by one’s job duties may lead to a thorough knowledge of a limited set of capabilities; that is, a deep but narrow understanding. It can be difficult to set aside time (and justify that time) to explore...