Heatmap visualization (SmartViz)
This feature is in beta and subject to change. Reach out to support with any issues.
The Heatmap visualization arranges your data into a grid and colors each cell by an intensity value. Use it to spot patterns across two dimensions at once, such as hour against day of week, or service against region.
When to use a heatmap
A heatmap needs three columns: two to form the grid, one to color the cells. It works best when both grid dimensions are categorical and bounded, so the cells stay large enough to read.
The classic fit is time against time. Hour of day against day of week, colored by request count from AWS API Request Count, makes recurring patterns visible in a way a line chart flattens out.
Where it struggles is high cardinality. A 200-row grid is a wall of color with no readable labels. Aggregate with Shaping or SQL Analytics first, or use a Table with the Progress renderer when exact numbers matter more than the pattern.
Try it out
Change the settings below and see how the chart updates. Select a dataset from the dropdown to see different use cases.
Ticket volume by day and hour, where values only ever climb. A single-hue sequential scheme is the honest choice when nothing can go negative.