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Qlik Sense Cookbook

Qlik Sense Cookbook

By : Labbe, Hand, Kharpate
3.3 (6)
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Qlik Sense Cookbook

Qlik Sense Cookbook

3.3 (6)
By: Labbe, Hand, 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 (11 chapters)
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Using comparison sets in Set Analysis


The following chart is a stacked bar chart, a standard way of comparing separate entities. Each value that you select is displayed as a segment in each bar by year:

Using a comparative analysis allows you to group the separate selections dynamically so that you can compare them against one another. In the preceding example, we can group together Plum and Apple versus Fig and Orange.

Getting ready

For the purpose of this recipe, we will make use of an inline data load that gives yearly sales information for different fruits. Load the following script in the Qlik Sense Data load editor:

Data:  
LOAD * INLINE [ 
    Fruit, Year, Sales 
    Apple, 2013, 63 
    Apple, 2014, 4 
    Cherry, 2014, 1150 
    Cherry, 2013, 1180 
    Fig, 2013, 467 
    Fig, 2013, 374 
    Fig, 2014, 162 
    Orange, 2013, 131 
    Orange, 2013, 145 
    Orange, 2014, 102 
    Pear, 2014, 489 
    Pear, 2014, 782 
    Plum, 2013, 148 
    Plum, 2014, 412 
];  
 
DataIslandFruit: ...

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