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Mastering Kibana 6.x

You're reading from   Mastering Kibana 6.x Visualize your Elastic Stack data with histograms, maps, charts, and graphs

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788831031
Length 376 pages
Edition 1st Edition
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Author (1):
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Anurag Srivastava Anurag Srivastava
Author Profile Icon Anurag Srivastava
Anurag Srivastava
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Table of Contents (16) Chapters Close

Preface 1. Revising the ELK Stack FREE CHAPTER 2. Setting Up and Customizing the Kibana Dashboard 3. Exploring Your Data 4. Visualizing the Data 5. Dashboarding to Showcase Key Performance Indicators 6. Handling Time Series Data with Timelion 7. Interact with Your Data Using Dev Tools 8. Tweaking Your Configuration with Kibana Management 9. Understanding X-Pack Features 10. Machine Learning with Kibana 11. Create Super Cool Dashboard from a Web Application 12. Different Use Cases of Kibana 13. Creating Monitoring Dashboards Using Beats 14. Best Practices 15. Other Books You May Enjoy

Pie charts

Before creating a pie chart, we need to understand the different terminology that's used in Kibana for creating visualizations. So, for chart creation, in which we will discuss the pie chart for now, we need to perform Elasticsearch aggregation. There are mainly two categories of aggregation that we need to configure for creating pie charts: metric aggregation and bucket aggregation.

Metric aggregation

The total slice size of a pie chart is calculated by the metrics aggregation. In the case of a pie chart, we have the following aggregations:

  • Count: This aggregation is the count of documents in the selected index pattern.
  • Sum: This aggregation returns the total sum of a numeric field. After choosing this...
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