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Learning Tableau 2019

You're reading from   Learning Tableau 2019 Tools for Business Intelligence, data prep, and visual analytics

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781788839525
Length 504 pages
Edition 3rd 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 (18) Chapters Close

Preface 1. Section 1: Tableau Foundations FREE CHAPTER
2. Taking Off with Tableau 3. Working with Data in Tableau 4. Venturing on to Advanced Visualizations 5. Section 2: Leveraging the Full Power of Tableau
6. Starting an Adventure with Calculations 7. Diving Deep with Table Calculations 8. Making Visualizations That Look Great and Work Well 9. Telling a Data Story with Dashboards 10. Digging Deeper - Trends, Clustering, Distributions, and Forecasting 11. Section 3: Data Prep and Structuring
12. Cleaning and Structuring Messy Data 13. Introducing Tableau Prep 14. Section 4: Advanced Techniques and Sharing with Others
15. Advanced Visualizations, Techniques, Tips, and Tricks 16. Sharing Your Data Story 17. Other Books You May Enjoy

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, dove into details on joins and blends, and finally, took a look at options for filtering data.

Working with data is fundamental to everything you do in Tableau. Having an understanding of connecting to various data sources, working with extracts, customizing metadata, and the difference between joins and blends, will be key as you begin deeper analysis and more complex visualizations, such as those covered in the...

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