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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

Using forecasting

Amazon QuickSight allows you to add forecasting to your dashboards without the need to develop complex ML models. To better understand how to configure forecasting, we will use the example dataset we configured in Chapter 2, Introduction to Amazon QuickSight.

Adding forecasting

For our example, let's assume that we need to develop a dashboard that contains forecasts about the total number of taxi fares in the future. As expected, our data has a certain degree of seasonality. Also, we can see from the line chart visual we developed in Chapter 3, Preparing Data with Amazon QuickSight, that during Sundays, there is a drop in the total taxi fares compared to the other days of the week. Identifying the most appropriate seasonality for our dataset is not always straightforward. In our example, we have different levels of seasonality depending on what time interval we will consider. A season can be 24 hours, or a week, or a year. Identifying the right seasonality...

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