Book Image

Hands-On Business Intelligence with Qlik Sense

By : Pablo Labbe, Clever Anjos, Kaushik Solanki, Jerry DiMaso
Book Image

Hands-On Business Intelligence with Qlik Sense

By: Pablo Labbe, Clever Anjos, Kaushik Solanki, Jerry DiMaso

Overview of this book

Qlik Sense allows you to explore simple-to-complex data to reveal hidden insights and data relationships to make business-driven decisions. Hands-On Business Intelligence with Qlik Sense begins by helping you get to grips with underlying Qlik concepts and gives you an overview of all Qlik Sense’s features. You will learn advanced modeling techniques and learn how to analyze the data loaded using a variety of visualization objects. You’ll also be trained on how to share apps through Qlik Sense Enterprise and Qlik Sense Cloud and how to perform aggregation with AGGR. As you progress through the chapters, you’ll explore the stories feature to create data-driven presentations and update an existing story. This book will guide you through the GeoAnalytics feature with the geo-mapping object and GeoAnalytics connector. Furthermore, you’ll learn about the self-service analytics features and perform data forecasting using advanced analytics. Lastly, you’ll deploy Qlik Sense apps for mobile and tablet. By the end of this book, you will be well-equipped to run successful business intelligence applications using Qlik Sense's functionality, data modeling techniques, and visualization best practices.
Table of Contents (18 chapters)
Free Chapter
1
Section 1: Qlik Sense and Business Intelligence
3
Section 2: Data Loading and Modeling
6
Section 3: Building an Analytical Application
11
Section 4: Additional Features

Calculation expressions

In the previous section of this chapter, we created some master measures by writing calculation expressions for each one. Expressions combine functions, fields, and math operators to calculate a desired value. These can be applied not only to measures, but also to titles, subtitles, footnotes, labels, and descriptions on Master items, chart colors, dimension limits, calculation conditions, and various other tools and places.

Here are some guidelines for writing expressions, as follows:

  • An expression used on a measure will always have an aggregation function. The most common aggregation functions are sum(), max(), min(), and avg(). Aggregation functions require at least a field name as a parameter. Let's look at some examples:
    • The sum(SalesAmount) calculates the summary of the SalesAmount field.
    • The count (distinct OrderID) counts the distinct values...