Book Image

Mastering Kibana 6.x

Book Image

Mastering Kibana 6.x

Overview of this book

Kibana is one of the popular tools among data enthusiasts for slicing and dicing large datasets and uncovering Business Intelligence (BI) with the help of its rich and powerful visualizations. To begin with, Mastering Kibana 6.x quickly introduces you to the features of Kibana 6.x, before teaching you how to create smart dashboards in no time. You will explore metric analytics and graph exploration, followed by understanding how to quickly customize Kibana dashboards. In addition to this, you will learn advanced analytics such as maps, hits, and list analytics. All this will help you enhance your skills in running and comparing multiple queries and filters, influencing your data visualization skills at scale. With Kibana’s Timelion feature, you can analyze time series data with histograms and stats analytics. By the end of this book, you will have created a speedy machine learning job using X-Pack capabilities.
Table of Contents (21 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Tag clouds


A tag cloud is basically words that are uniquely picked from the selected field of the document. A field value with more occurrences is shown in a prominent way to make it more visible than the field value with less occurrences. For example, if I pick the Metricbeat field, metricset.name, the tag cloud type graph will pick unique values of the field such as network, process, filesystem, and more, and, based on their occurrence in the document, the text will be displayed in the chart.  

Creating a tag cloud

To create the tag cloud visualization, we need to click on the Tag cloud box on the Select visualization type page. After that, we need to click on the index named metricbeat-* on the Choose search source page, which will open the default blank page:

On the left-hand side of the page, we can see only one link under buckets, which is Tags. We need to do the following for creating the tag cloud:

  1. Click on the Tags link under the Buckets option.
  2. Select Terms under the Aggregation option...