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Hands-On Business Intelligence with Qlik Sense

You're reading from   Hands-On Business Intelligence with Qlik Sense Implement self-service data analytics with insights and guidance from Qlik Sense experts

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789800944
Length 442 pages
Edition 1st Edition
Languages
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Authors (4):
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Kaushik Solanki Kaushik Solanki
Author Profile Icon Kaushik Solanki
Kaushik Solanki
Clever Anjos Clever Anjos
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Clever Anjos
Jerry DiMaso Jerry DiMaso
Author Profile Icon Jerry DiMaso
Jerry DiMaso
Pablo Labbe Pablo Labbe
Author Profile Icon Pablo Labbe
Pablo Labbe
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Qlik Sense and Business Intelligence FREE CHAPTER
2. Getting Started with Qlik Sense 3. Section 2: Data Loading and Modeling
4. Loading Data in Qlik Sense 5. Implementing Data Modeling Techniques 6. Section 3: Building an Analytical Application
7. Working with Application Structure 8. Creating a Sales Analysis App Using Qlik Sense 9. Interacting with Advanced Expressions 10. Creating Data Stories 11. Section 4: Additional Features
12. Engaging On-Demand App Generation 13. Creating a Native Map Using GeoAnalytics 14. Working with Self-Service Analytics 15. Data Forecasting Using Advanced Analytics 16. Deploying Qlik Sense Apps for Mobile/Tablets 17. Other Books You May Enjoy

Interacting with Advanced Expressions

In this chapter, we are going to learn about the power of calculation engines. After reading this, you will understand how to create a calculation with conditions, as well as how to use the aggregation scope, inter-record functions, and advanced aggregation with the AGGR function. Finally, you will learn how to use Set Analysis to create a calculation with very specific data.

For each topic, we will create several visualizations to help us interact with the expressions and also use some additional functions to check whether there is selected data on fields.

The following topics will be covered in this chapter:

  • Creating calculations with conditions
  • Using TOTAL for aggregation scope
  • Using some useful inter-record functions
  • Using AGGR for advanced aggregation
  • Leveraging Set Analysis for in-calculation selection
...
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