Histogram visualization (SmartViz)
This feature is in beta and subject to change. Reach out to support with any issues.
The Histogram visualization shows the distribution of a single numeric column by sorting values into equal-width buckets and plotting how many fall into each. It answers questions about spread and shape: where response times cluster, or how many items sit in the long tail.
When to use a histogram
A histogram takes one numeric column and shows how its values are distributed across equal-width buckets. Unlike most charts here, it needs no categorical column at all.
It's the right tool when an average misleads. Plotting AWS Lambda Duration across all invocations shows whether a mean of 200ms comes from consistent responses, or from a fast majority plus a slow tail.
Select Log for the y-axis scale when a few buckets dominate the count, which is common with latency data.
To compare distributions across several categories rather than examine one, use a Box plot.
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 times from cache hits and cache misses, mixed together. At three or four bins they blur into one hump, and more bins split them into two peaks.
Histogram settings
Data mapping
X axis
Y axis
On a histogram the y-axis is a count of rows per bucket, and the x-axis labels are the bucket ranges. Select Log for the y-axis scale when a few buckets dominate the count.
Legend & labels
Histogram
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.