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Business Intelligence with Looker Cookbook

You're reading from   Business Intelligence with Looker Cookbook Create BI solutions and data applications to explore and share insights in real time

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781800560956
Length 256 pages
Edition 1st Edition
Tools
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Author (1):
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Khrystyna Grynko Khrystyna Grynko
Author Profile Icon Khrystyna Grynko
Khrystyna Grynko
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Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Getting Started with Looker FREE CHAPTER 2. Chapter 2: Configuring Views and Models in a LookML Project 3. Chapter 3: Working with Data in Explores 4. Chapter 4: Customizing and Serving Dashboards 5. Chapter 5: Making Dashboards Interactive through Dynamic Elements 6. Chapter 6: Troubleshooting Looker 7. Chapter 7: Integrating Looker with Other Applications 8. Chapter 8: Organizing the Looker Environment 9. Chapter 9: Administering and Monitoring Looker 10. Chapter 10: Preparing to Develop Looker Applications 11. Index 12. Other Books You May Enjoy

Creating measures in views

Measures in Looker are aggregations of one or more dimensions (or unique attributes of the data) such as a count or average. They are used to calculate key performance indicators (KPIs) and help business users analyze data using different aggregated attributes. Three of the most common measure types are sum, average, and count. Measures represent the quantitative information in Looker.

By combining measures and dimensions, you can create visualizations and dashboards that help you understand both the quantitative and qualitative aspects of your business.

When you create your LookML project and choose Generate Model from Database Schema, Looker will automatically create Count measures for your tables (views). In Your LookML environment, go and check what are the measures that were created in your views. For example, the following measures in distribution_centers.view might not be relevant for your data exploration and might not make sense at all:

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