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

Creating dynamic charts

To increase the flexibility of a single chart object, you can set it up so that the dimension used is based on what the user wants to see. This is a much more efficient use of space for single sheets, and makes the whole experience much more dynamic.

Getting ready

For the purpose of this recipe, we will make use of the sales information for different fruits, as defined in the script:

  1. Create a new Qlik Sense application and call it QS_DynamicCharts.
  2. Load the following data into the Data load editor:
 Mod(IterNo(),26)+1 AS Period, 
 Pick(Ceil(3*Rand()),'Standard','Premium','Discount') AS 
   'Pear') AS Category, 
 Pick(Ceil(3*Rand()),'Heavy','Medium','Light') AS Weight, 
 Pick(Ceil(2*Rand()),'2013','2014') AS Year,  
 Round(1000*Rand()*Rand()*Rand()) AS Sales 
Autogenerate 20 
While Rand()<=0.5 or IterNo()=1; 
SET vDimension = 'GetFieldSelections(Dimensions)';