Scatter visualization (SmartViz)
This feature is in beta and subject to change. Reach out to support with any issues.
The Scatter visualization plots individual data points against two numeric axes, which shows the relationship between two measures. Points can also be colored and sized by further columns, so a single chart can show up to four dimensions at once.
When to use a scatter chart
A scatter plot is for the relationship between two numeric measures, one per axis. It's the only chart here that answers "does X track with Y?".
Cost against usage is a common pairing, plotting AWS Cost against Lambda Invocations per function to find the expensive outliers. Latency against throughput, from API Latency and API Request Count, works the same way.
Points can also be sized and colored by further columns, letting one scatter carry four dimensions. That's also the risk: four encodings is usually two more than a reader can hold.
Where the x-axis is time, use a Line.
Try it out
Change the settings below and see how the chart updates. Select a dataset from the dropdown to see different use cases.
Response time against CPU for three regions, each dot sized by requests a minute. Size carries a third value, so the busy services stand out.
Scatter settings
Data mapping
Series appearance
X axis
Y axis
Legend & labels
Second Y axis
Colors
Add up to 20 colors to set the palette, in order. The palette repeats when there are more items than colors. Leave the palette empty to use the SquaredUp default colors.
Series / status colors
Pin a named value to a specific color, regardless of its position in the palette. Enter the name exactly as it appears in your data, then choose its color.
Color rules
Recolor points conditionally. Each rule needs a color and at least one condition.
Mark lines
Add reference lines across the chart.
Mark areas
Add shaded bands across the chart.