Creating anomaly detection jobs from a Lens visualization

In the previous recipe, we explored the manual creation of anomaly detection jobs. You may often begin your analysis with insights gathered from dashboards and visualizations to comprehend your data’s seasonality. A natural progression from this analysis might be to create an anomaly detection job to monitor the aggregations you’ve identified in your Lens visualization. In this recipe, we’ll demonstrate how to initiate an anomaly detection job directly from within a Lens visualization.

Getting ready

To follow along with this recipe, make sure to have completed the following:

• The Exploring your data in Discover recipe in Chapter 6
• The previous Detecting anomalies in your data with unsupervised machine learning jobs recipe in this chapter

How to do it...

1. Go to Kibana | Analytics | Dashboard and open the dashboard we created in Chapter 6, titled [Rennes Traffic] Overview Dashboard...