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

Creating an ABC analysis


ABC analysis divides a set of information, such as customers, products, suppliers, or any other dimension, into three categories: "A" for those contributing to the first 80% of an indicator, such as costs or sales, "B' for those contributing to the next 10%, and "C" for the final 10 %.

This recipe will show you how to create an ABC analysis coloring a dimension with this classification, and use the classification as a dimension, so you can filter only the countries that fall under the "B" category, for example.

Getting ready

For this recipe, we will reuse the data load for the Using nested aggregations recipe of this chapter.

How to do it…

  1. Create a new Dimension in the Master items library.
  2. In the dimension editor, select the expression editor for the field.
  3. Add the following expression:
=Aggr( 
    If(Rangesum(Above(Sum(Sales)/Sum(Total Sales),1,RowNo()))<0.8, 'A', 
     If(Rangesum(Above(Sum(Sales)/Sum(Total Sales),1,RowNo()))<0.9, 'B', 
      'C')), 
    (Country...