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Learning Tableau 2020 - Fourth Edition

You're reading from Learning Tableau 2020 - Fourth Edition

Product type Book

Published in Aug 2020

Publisher Packt

ISBN-13 9781800200364

Pages 576 pages

Edition 4th Edition

Languages

Concepts

Business Intelligence

Author (1):

Joshua N. Milligan

Table of Contents (19) 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. Understanding the Tableau Data Model, Joins, and Blends

14. Structuring Messy Data to Work Well in Tableau

15. Taming Data with Tableau Prep

16. Sharing Your Data Story

17. Other Books You May Enjoy

18. Index

Summary

This chapter covered key concepts of how Tableau works with data. Although you will not usually be concerned with what queries Tableau generates to query underlying data engines, having a solid understanding of Tableau's paradigm will greatly aid you as you analyze data.

We looked at multiple examples of different connections to different data sources, considered the benefits and potential drawbacks of using data extracts, considered how to manage metadata, and considered options for filtering data.

Working with data is fundamental to everything you do in Tableau. Understanding how to connect to various data sources, when to work with extracts, and how to customize metadata will be key as you begin deeper analysis and more complex visualizations, such as those covered in Chapter 3, Moving Beyond Basic Visualizations.

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Learning Tableau 2020 - Fourth Edition

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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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