Summary

We covered a lot in this chapter! We learned about the three components of the visualization pipeline – query, transformation, and visualization – and how the DataFrame is the key data structure that’s processed by the pipeline. We explored the purpose of transformations and the many capabilities of transformation functions. We explored several common transformation functions with example use cases. We also tried out real-world transformations both singly and multiply in transformation chains. Finally, we examined some limitations of transformations.

In the next two chapters, we’ll continue down the visualization pipeline and look at some of the more commonly used visualizations: the stat, gauge, and bar chart visualizations in Chapter 7, Surveying Key Grafana Visualizations; followed by the geomap and heatmap, and revisiting the table visualization in Chapter 8, Surveying Additional Grafana Visualizations. This will open up the possibility of...