Charts, distributions and measurement
Distribution chart pack
The distribution family beyond the histogram: violin shapes, density curves, Q-Q plots and quantile dots from one record set.
chart.violin@1New DDN source
Why use it?
Shape questions need shape tools — each of these shows what averages and even histograms smooth away.
When it helps
Comparing distributions, checking normality, reading tails.
How to read it
- The violin mirrors the density; the Q-Q compares against the theoretical line.
- Quantile dots are records, never a smoothed invention.
What you need
- The values
- The comparison target (normal, or another group)
- The variant that answers your question
Things to check
- Do not read a KDE bandwidth as data.
- Do not conclude normality from a pretty Q-Q alone.
Scope of this diagram
Declared kernels and quantiles from the records; no significance testing.
Work with the converted example
- Open the viewer and select
violin. 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.