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Mastering Tableau

You're reading from   Mastering Tableau Smart Business Intelligence techniques to get maximum insights from your data

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Product type Paperback
Published in Dec 2016
Publisher Packt
ISBN-13 9781784397692
Length 476 pages
Edition 1st Edition
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Authors (2):
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Jen Stirrup Jen Stirrup
Author Profile Icon Jen Stirrup
Jen Stirrup
David Baldwin David Baldwin
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David Baldwin
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Table of Contents (14) Chapters Close

Preface 1. Getting Up to Speed – a Review of the Basics FREE CHAPTER 2. All about Data – Getting Your Data Ready 3. All about Data – Joins, Blends, and Data Structures 4. All about Data – Data Densification, Cubes, and Big Data 5. Table Calculations 6. Level of Detail Calculations 7. Beyond the Basic Chart Types 8. Mapping 9. Tableau for Presentations 10. Visualization Best Practices and Dashboard Design 11. Improving Performance 12. Interacting with Tableau Server 13. R Integration

Chapter 13. R Integration

In February 2015, a student of mine came into class and said, "Tableau stock took quite a jump this morning! What happened?" I soon found out. Gartner had just released their report for Business Intelligence and Analytics Platforms. As you can see in this image, Tableau was clearly marked as the leader:

R Integration

Although Gartner clearly ranked Tableau far in front for Ability to Execute, note that at least five platforms scored better for Completeness of Vision. Why? One major reason can be found in the text of the report where Gartner states, "other vendors, such as SAS, SAP, and Tibco, have more advanced native [analytic] capabilities."

Tableau is by no means ignorant of this criticism and has answered in two ways, firstly by releasing increasingly sophisticated native analytic capabilities, and secondly by providing R Integration. Recent examples of native advanced analytics include clustering (10.0) and the correlation function (10.1, which...

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