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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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Philip Hand Philip Hand
Author Profile Icon Philip Hand
Philip Hand
Neeraj Kharpate Neeraj Kharpate
Author Profile Icon Neeraj Kharpate
Neeraj Kharpate
Pablo Labbe Pablo Labbe
Author Profile Icon Pablo Labbe
Pablo Labbe
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Toc

Table of Contents (11) Chapters Close

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 10. Other Books You May Enjoy

Using flags in Set Analysis


Set Analysis expressions tend to become overly complex when there are too many comparison sets and conditions put in place. In order to reduce the complexity, you can make use of the flags created in the script in the Set Analysis expression. The flags can be set up to be simple binary values, 0 and 1. The use of flags optimizes the performance of frontend calculations. The following recipe explores this possibility by creating flags in the script to identify On-time and Late shipments.

Getting ready

For the purpose of this recipe, we will be using an inline data load that contains shipment details for each customer. Load the following script in the Qlik Sense Data load editor:

SalesTemp: 
LOAD DATE(Date#(DeliveryDate,'DD/MM/YYYY')) AS DeliveryDate, 
DATE(Date#(ShipmentDate,'DD/MM/YYYY')) AS ShipmentDate, 
Invoiceno.,Customer,Month,Sales INLINE [ 
Invoiceno.,Customer,Month,DeliveryDate,ShipmentDate,Sales 
101,ABC,Jan,01/01/2015,29/12/2014,10000 
102,ABC,Feb,02/02...
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