Distributions
A distribution describes the spread of underlying values, rather than only their total. Use a histogram for frequencies or a box plot for median, quartiles and outliers. These charts require appropriate source samples or validated statistical summaries.
Distribution and statistical charts
Section titled “Distribution and statistical charts”Interactive example
Distribution and statistical charts
Eight sample values fall into ranges 10–25, 25–40 and 40–55. Bar height shows how many observations fall in each range.
| Type | Best for | Required data |
|---|---|---|
histogram | Numeric sample distributions with count, sum or mean metrics. | First measure by default, or explicit sample collections through X/value bindings; complete global bins and loaded raw rows retain distinct semantics. |
stripDot | Showing individual observations along a value axis. | Category/value input and one series. |
boxPlot | Median, quartiles, spread, and outliers. | Original numeric samples or a typed precomputed summary for selected series. |
violin | Distribution shape and density. | Original numeric samples, or a typed summary with density, for selected series. |
errorInterval | Actual values with lower and upper error bounds. | One actual, one low, and one high measure. |
rangeInterval | Comparing statistical intervals within assigned value-axis groups. | Category and value with two or more series. |
Next steps
Section titled “Next steps”See source distributions, analysis tools and provider contracts.