Charts, distributions and measurement
Histogram — counts and density
A distribution as binned counts (and the density variant): how values spread, not just their average.
chart.quality@1New DDN source
Why use it?
The average is where histograms go to hide the truth.
When it helps
Latency, sizes, scores — anything with a shape worth seeing.
How to read it
- Bins are declared intervals with inclusive/exclusive edges noted.
- Counts and density answer different questions — switch variants to see.
What you need
- The values
- The bin count or edges
- Counts versus density choice
Things to check
- Do not tune bin count to hide a second mode.
- Do not read a density curve as more data than the records hold.
Scope of this diagram
Exact bin counts from the records; boundary inclusion is declared and tested.
Work with the converted example
- Open the viewer and select
histogram. Inspect the rendered view and its source. - Open the designer. Keep the selected profile and inspect its legal palette and property controls.
- Change one displayed title or an appropriate data value. Apply the edit and check the resulting diagram.
- Run the verifier and review its diagnostics before moving complete content into review.
- Download your edited DDN source to retain the change.
The example uses the indentation-based ddn-next-1 dialect. The language guide explains reusable definitions, dotted data rows and explicit property blocks.