Book Image

Qlik Sense Cookbook. - Second Edition

By : Pablo Labbe, Philip Hand, Neeraj Kharpate
Book Image

Qlik Sense Cookbook. - Second Edition

By: Pablo Labbe, Philip Hand, Neeraj Kharpate

Overview of this book

Qlik Sense allows you to explore simple and complex data to reveal hidden insight and data relationships that help you make quality decisions for overall productivity. An expert Qlik Sense user can use its features for business intelligence in an enterprise environment effectively. Qlik Sense Cookbook is an excellent guide for all aspiring Qlik Sense developers and will empower you to create featured desktop applications to obtain daily insights at work. This book takes you through the basics and advanced functions of Qlik Sense February 2018 release. You’ll start with a quick refresher on obtaining data from data files and databases, and move on to some more refined features including visualization, and scripting, as well as managing apps and user interfaces. You will then understand how to work with advanced functions like set analysis and set expressions. As you make your way through this book, you will uncover newly added features in Qlik Sense such as new visualizations, label expressions and colors for dimension and measures. By the end of this book, you will have explored various visualization extensions to create your own interactive dashboard with the required tips and tricks. This will help you overcome challenging situations while developing your applications in Qlik Sense.
Table of Contents (16 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

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...