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Qlik Sense Cookbook

You're reading from   Qlik Sense Cookbook Over 80 recipes on data analytics to solve business intelligence challenges

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781788997058
Length 334 pages
Edition 2nd Edition
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Authors (3):
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 Labbe Labbe
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Labbe
 Hand Hand
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 Kharpate Kharpate
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Kharpate
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Table of Contents (16) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Getting Started with the Data FREE CHAPTER 2. Visualizations 3. Scripting 4. Managing Apps and the User Interface 5. Useful Functions 6. Set Analysis 7. Using Extensions in Qlik Sense 8. Advanced Aggregation with AGGR 9. Tips and Tricks 1. Other Books You May Enjoy Index

Using the element functions P() and E() in Set Analysis


So far, we have seen how sets can be used to manipulate the result of an expression. To take the concept a bit further, we will now see how to use the P() and E() functions inside a Set Analysis expression. In the previous Set Analysis expressions, all field values were explicitly defined in the sets or variables or, in certain cases, through defined searches. The P() and E() functions make use of nested set definitions.

 

A P() function returns a set of all possible values, while an E() function returns a set of all excluded values.

Getting ready

For the purpose of this recipe, we make use of customer sales data as defined in the following inline data load. Load the following script in the Qlik Sense Data load editor:

P_E: 
LOAD * INLINE [ 
Customer,Month,Volume,Sales,Supplier 
ABC,Jan,100,10000,DEF 
ABC,Feb,100,10000,DEF 
ABC,Mar,400,12000,DEF 
ABC,Apr,100,10000,GHI 
DEF,Feb,200,25000,GHI 
DEF,Mar,300,25000,GHI 
DEF,Apr,200,25000,ABC ...
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