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Learning Tableau 2022

You're reading from   Learning Tableau 2022 Create effective data visualizations, build interactive visual analytics, and improve your data storytelling capabilities

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801072328
Length 568 pages
Edition 5th Edition
Tools
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Author (1):
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Joshua N. Milligan Joshua N. Milligan
Author Profile Icon Joshua N. Milligan
Joshua N. Milligan
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Table of Contents (20) Chapters Close

Preface 1. Taking Off with Tableau FREE CHAPTER 2. Connecting to Data in Tableau 3. Moving Beyond Basic Visualizations 4. Starting an Adventure with Calculations and Parameters 5. Leveraging Level of Detail Calculations 6. Diving Deep with Table Calculations 7. Making Visualizations that Look Great and Work Well 8. Telling a Data Story with Dashboards 9. Visual Analytics: Trends, Clustering, Distributions, and Forecasting 10. Advanced Visualizations 11. Dynamic Dashboards 12. Exploring Mapping and Advanced Geospatial Features 13. Integrating Advanced Features: Extensions, Scripts, and AI 14. Understanding the Tableau Data Model, Joins, and Blends 15. Structuring Messy Data to Work Well in Tableau 16. Taming Data with Tableau Prep 17. Sharing Your Data Story 18. Other Books You May Enjoy
19. Index

An overview of table calculations

Table calculations are different from all other calculations in Tableau. Row-level, aggregate calculations, and level of detail (LOD) expressions, which we explored in the previous chapters, are performed as part of the query to the data source. If you were to examine the queries sent to the data source by Tableau, you’d find the code for your calculations translated into whatever implementation of SQL the data source used.

Table calculations, on the other hand, are performed after the initial query. Here’s a diagram that demonstrates how aggregated results are stored in Tableau’s cache:

Figure 6.1: Table calculations are computed in Tableau’s cache of aggregated data

Table calculations are performed on the aggregate table of data in Tableau’s cache right before the data visualization is rendered. As we’ll see, this is important to understand for multiple reasons, including the following:

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