Summary
In this chapter, we understood how TSVB is a very powerful and useful tool that lets us create dynamic and versatile visualizations based on near-real-time data. We studied the Metric visualization, which helps us plot metric aggregations in the form of a metric on the visualization and has the dynamic effect of updating color conditionals automatically.
Top N and Gauge, on the other hand, focus on the implementation of the bucket aggregation. Markdown is a very unique type of visualization that helps us add text or information on any particular use case-specific dashboard. Lastly, the Table visualization helps us to visualize the data in tabular format along with the aggregation implementation against individual fields.
In the next chapter, we shall open up new doors to learn how machine learning helps us take this data analysis to an advanced level.
