Book Image

Qlik Sense Cookbook - Second Edition

By : Labbe, Hand, Kharpate
Book Image

Qlik Sense Cookbook - Second Edition

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)

Adding reference lines to trendline charts


It is impossible to overstate the importance of adding context to analysis. Take the example of having the headline numberAverage Call Timedisplayed on a dashboard. While this might clearly be an important metric for a call center, on its own it portrays very little.

 

As shown in theDimensionless bar chartrecipe, we use reference lines to add the context required to make the number meaningful. Sticking to the example ofAverage Call Time, we may also want to also see a previous point-in-time position, the national or a competitor's average, the internal target, and so on. This recipe extends the use of reference lines further.

Getting ready

For this recipe, we will make use of inline data loading, which gives us the call bounce rates for different periods. Add the following code into the data load editor and reload the Qlik Sense application:

WebStats:
LOAD * INLINE [
    Period, BounceRate
    1, 0.26
    2, 0.25
    3, 0.24
    4, 0.24
    5, 0.27...