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

Applying limitations to charts

While outliers can reveal all kinds of useful intelligence, such as issues in data capture or associated process patterns, they can cause problems when you are building data visualizations. The most common issue is to do with scale, and we will show you how to solve this in this recipe.

Getting ready

For this recipe, we will make use of inline data loading, which gives us the information on the number of calls made for each month. Add the following code into the data load editor and reload the Qlik Sense application:

    Month, Date, Calls
    Jan, 27/01/15, 25
    Jan, 28/01/15, 27
    Jan, 29/01/15, 25
    Jan, 30/01/15, 600
    Jan, 31/01/15, 22
    Feb, 01/02/15, 20
    Feb, 02/02/15, 19
    Feb, 03/02/15, 21
    Feb, 04/02/15, 1
    Feb, 05/02/15, 600

How to do it…

  1. Add a Bar chart object onto the content page.
  2. Add Month as a dimension.
  3. Add Avg(Calls) as a measure. Label it Average Calls.
  4. Click on Done. Notice that the values in both months...