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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
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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

Exercise: adjusting the data structure for different questions

As a business analyst for a hospital, you are connecting Tableau to a daily snapshot of patient data. You have two questions:

  • How many events occur on any given date? For example, how many patients check in on a given day?
  • How much time expires between events? For example, what is the average stay for those patients who are in the hospital for multiple days?

Exercise steps: part I

The following are the steps:

  1. In the starter workbook associated with this chapter, select the Time Frames worksheet, and within the Data pane select the Patient_Snapshot data source.
  2. Click on the dropdown in the Marks View card and select Bar.
  3. Right-click in the Data pane to create...
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