At this point of the book, you have seen multiple use cases and multiple ways to leverage the output of Elastic ML, such as getting proactive alerts. Whether you are in a DevOps team or a security team, you will likely need to visualize your data. Visualizing lots of raw data can be a burden, as too many data sources overwhelm what our eyes can effectively capture. This is where the visualization capabilities of Kibana, combined with Elastic ML data, can be leveraged to highlight what really matters in dashboards.

This chapter will walk you through the creation of visualizations and dashboards that use Elastic ML data. In this manner, analysts who are not familiar with ML, but need to visualize the data, can be helped throughout their investigation.

First, we'll have a quick tour through Kibana and list the visualization options we'll use. Then, we'll prepare our data and create a couple of ML jobs, and finally we'll build our visualizations and dashboard.

The following are the topics that we'll cover in this chapter:

• Visualization options
• Preparing data for anomaly detection analysis
• Building visualizations