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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 Hardcover
Published in May 2021
Publisher Packt
ISBN-13 9781800561649
Length 792 pages
Edition 1st Edition
Languages
Tools
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Authors (2):
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Jen Stirrup Jen Stirrup
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Jen Stirrup
 Baldwin Baldwin
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Baldwin
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Table of Contents (18) Chapters Close

Preface 1. Getting Up to Speed – A Review of the Basics 2. All About Data – Getting Your Data Ready FREE CHAPTER 3. Tableau Prep Builder 4. All About Data – Joins, Blends, and Data Structures 5. Table Calculations 6. All About Data – Data Densification, Cubes, and Big Data 7. Level of Detail Calculations 8. Beyond the Basic Chart Types 9. Mapping 10. Tableau for Presentations 11. Visualization Best Practices and Dashboard Design 12. Advanced Analytics 13. Improving Performance 14. Interacting with Tableau Server/Online 15. Programming Tool Integration 16. Another Book You May Enjoy
17. Index

Implementing R functionality

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 the class of functions beginning with SCRIPT_, as shown in the following screenshot:

Figure 15.7: SCRIPT 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 true or false values, and so forth.

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

Figure 15.8: R script syntax

The preceding example code calculates the average profit, but we will get to more examples in the next sections. Let's start by reproducing Tableau functionality using the R integration and hence prove that R is working properly.

Reproducing native Tableau functionality in R

For our first exercise, we will use the AVG, MEDIAN...

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