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Mastering Tableau 2019.1

You're reading from   Mastering Tableau 2019.1 An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1

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Product type Paperback
Published in Feb 2019
Publisher
ISBN-13 9781789533880
Length 558 pages
Edition 2nd Edition
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Authors (2):
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Marleen Meier Marleen Meier
Author Profile Icon Marleen Meier
Marleen Meier
David Baldwin David Baldwin
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David Baldwin
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Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Tableau Concepts, Basics FREE CHAPTER
2. Getting Up to Speed - A Review of the Basics 3. All About Data - Getting Your Data Ready 4. Tableau Prep 5. All About Data - Joins, Blends, and Data Structures 6. All About Data - Data Densification, Cubes, and Big Data 7. Table Calculations 8. Level of Detail Calculations 9. Section 2: Advanced Calculations, Mapping, Visualizations
10. Beyond the Basic Chart Types 11. Mapping 12. Tableau for Presentations 13. Visualization Best Practices and Dashboard Design 14. Advanced Analytics 15. Improving Performance 16. Section 3: Connecting Tableau to R, Python, and Matlab
17. Interacting with Tableau Server 18. Programming Tool Integration 19. Other Books You May Enjoy

Summary

We started this chapter with an introduction to Tableau Prep. We looked at the GUI and how we can connect data to it. After that, we did a lot of exercises regarding data preparation. This part can be divided in four parts: data cleaning, unions and joins, aggregation, and last but not least, pivoting. To round up this chapter on Tableau Prep, we looked at exporting data as the final topic. Here, we saw that the new dataset can be saved as a file, a data extract, or can be pushed directly to the Tableau Server.

Just like Tableau Desktop, Tableau Prep is very much self-explanatory and highly visual. Colors, symbols, and highlights make it easy to get used to this Extract, transform, and load tool. In the next chapter, we will focus on joins again, but this time, in Tableau Desktop itself. Along with this, we'll examine both data blending and data structures.

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