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Actionable Insights with Amazon QuickSight

You're reading from   Actionable Insights with Amazon QuickSight Develop stunning data visualizations and machine learning-driven insights with Amazon QuickSight

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801079297
Length 242 pages
Edition 1st Edition
Languages
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Author (1):
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Manos Samatas Manos Samatas
Author Profile Icon Manos Samatas
Manos Samatas
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Table of Contents (15) Chapters Close

Preface 1. Section 1: Introduction to Amazon QuickSight and the AWS Analytics Ecosystem
2. Chapter 1: Introducing the AWS Analytics Ecosystem FREE CHAPTER 3. Chapter 2: Introduction to Amazon QuickSight 4. Chapter 3: Preparing Data with Amazon QuickSight 5. Chapter 4: Developing Visuals and Dashboards 6. Section 2: Advanced Dashboarding and Insights
7. Chapter 5: Building Interactive Dashboards 8. Chapter 6: Working with ML Capabilities and Insights 9. Chapter 7: Understanding Embedded Analytics 10. Section 3: Advanced Topics and Management
11. Chapter 8: Understanding the QuickSight API 12. Chapter 9: Managing QuickSight Permissions and Usage 13. Chapter 10: Multitenancy in Amazon QuickSight 14. Other Books You May Enjoy

Working with insights

QuickSight insights offer a set of features that allow you to express insights from data using natural language. QuickSight can automatically interpret a diagram and suggest narratives that you can quickly add to your analysis. In addition to that, you can build your own custom narrative. In this section, we will do the following:

  • Learn how to use suggested insights.
  • Create and edit a custom insight.

Adding suggested insights

To better understand the autonarrative features, we will use the example New York Taxi analysis. Let's start with the Sankey diagram to discover interesting insights from the data:

  1. First, open the analysis and select any visual by clicking on it.
  2. Next, click on the insights icon to reveal the Suggested insights list, as shown here:

Figure 6.4 – Selecting the suggested insights

Next, we will select an insight that looks interesting to display. For example, we can...

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