At the beginning of this chapter, we discussed different types of visualizations, such as pie charts, bar charts, area charts, data metrics, data tables, tag clouds, and markdown. Then, we covered them in detail, alongside the type of aggregations they support for metrics and buckets, and then we covered how to create these charts one by one by setting the aggregation and selecting the data field.

By creating different types of visualization, we can integrate them into a dashboard and then we can do many things, such as search, filter, and drill-down, using simple clicks on the charts. This helps us to explore our data by visualizing it in an integrated way, since filters on dashboards work on all visualizations of an Elasticsearch index.It also provides us with the option to download the reports from the visualization directly by clicking on the down arrow and then on the export link. So, here, we have covered the topics related to Kibana visualization.

In the next chapter, we will...