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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
Languages
Tools
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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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Toc

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

Using R functions

Now that we have successfully connected Tableau with R, let's write some code in Tableau to invoke R. Within Tableau, open the Calculated Field Editor. Notice within the functions panel those entries beginning with SCRIPT_, as shown in the following image:

Using R functions

The SCRIPT functions are used by Tableau to invoke R. The function names communicate the data type of the returned results: SCRIPT_REAL returns float values, SCRIPT_BOOL returns T|F values, and so on.

The syntax of a SCRIPT function is represented in the following diagram:

Using R functions

Exercise - reproducing native Tableau functionality in R

For our first example, we will use the AVG, MEDIAN, and STDEV functions in Tableau and compare the results with the mean, median, and sd R functions. This will allow you to practice the SCRIPT functions, begin to understand R syntax, and compare results generated by Tableau with those generated by R:

  1. Navigate to https://public.tableau.com/profile/david.baldwin#!/ to locate and download...
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