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Learning Tableau 2022 - Fifth Edition

You're reading from Learning Tableau 2022 - Fifth Edition

Product type Book

Published in Aug 2022

Publisher Packt

ISBN-13 9781801072328

Pages 568 pages

Edition 5th Edition

Languages

Concepts

Business Intelligence

Author (1):

Joshua N. Milligan

Table of Contents (20) Chapters

Preface

1. Taking Off with Tableau

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

Practical examples of calculations and parameters

Let’s turn our attention to some practical examples of row-level and aggregate calculations. The goal is to learn and understand some of what is possible with calculations. You will be able to build on these examples as you embark on your analysis and visualization journey.

A great place to find help and suggestions for calculations is the official Tableau forums at https://community.tableau.com/s/explore-forums.

Fixing data issues

Often, data is not entirely clean. That is, it has problems that need to be corrected before meaningful analysis can be accomplished. For example, dates may be incorrectly formatted, or fields may contain a mix of numeric values and character codes that need to be separated into multiple fields. Calculated fields can often be used to fix these kinds of issues.

We’ll consider using Tableau Prep—a tool designed to shape and cleanse data—in Chapter...

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Authors (1)

Joshua N. Milligan

Joshua N. Milligan is a Hall of Fame Tableau Zen Master and 2017 Iron Viz Global finalist. His passion is training, mentoring, and helping people gain insights and make decisions based on their data through data visualization using Tableau and data cleaning and structuring using Tableau Prep. He is a principal consultant at Teknion Data Solutions, where he has served clients in numerous industries since 2004.

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