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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

Bar charts


Bar charts are a type of visualization which are used to compare the number, frequency, or other measures for different categories of data. Bar charts are the most common type of visualization, and are easy to create and easy to interpret as well. They are used to present categorical data in the form of rectangular bars with heights/lengths proportional to the given values.

There are two categories of aggregation that we need to configure for creating bar charts: metric aggregation and bucket aggregation.

Metric aggregation

Metric aggregation computes metrics on the basis of the way the values of the documents are aggregated. The following are the types of metric aggregations:

  • Average: This is used to calculate the average of a numeric field.
  • Max: This is used to calculate the maximum value of a numeric field.
  • Median: This is used to calculate the median value of a numeric field.
  • Min: This is used to calculate the minimum value of a numeric field.
  • Percentile ranks: This returns the percentile...
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