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

Area charts

An area chart is used to display graphically quantitative data. It is a kind of line chart where the area between axes and lines are emphasized with colors or textures.

Creating an area chart

From the Select visualization type screen, we need to click on the Area block. This will open the Choose search source screen. Here, we have the following two options:

  • From a New Search, Select Index: This is used if we want to pick the index name
  • Or, From a Saved Search: This is used if we want to pick from a saved search

If we don't want to use our saved searches, then we can go for the first option, in which case we can choose any index and start creating visualizations. So, let's say we need to create an area chart from the metricbeat index. For that, we need to click on the metricbeat-* index link under From a New Search, Select Index.

Now, for the area chart creation, we need to perform Elasticsearch aggregation on the field, and for that we need to do the following:

  1. Click...