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Mastering Tableau 2023

Mastering Tableau 2023

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

Partition and direction of addressing

As discussed in Chapter 1, Reviewing the Basics, calculated fields can be categorized as either row-level, aggregate-level, or table-level. For row- and aggregate-level calculations, the underlying data source engine does most (if not all) of the computational work and Tableau merely visualizes the results. For table calculations, Tableau also relies on the underlying data source engine and the available RAM on your machine to execute computational tasks; however, after that work is completed and a dataset is returned, Tableau performs additional processing before rendering the results.

Let us look at the definition of table calculations, as follows:

A table calculation is a function performed on a cached dataset that has been generated as a result of a query from Tableau to the data source.

Let us consider a couple of points regarding the dataset in the cache mentioned in the preceding definition.

This cache is not...

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