Viz.Violin

Renders a violin plot as an SVG data URI showing probability density distribution

Kernel Density Estimation (KDE)

KDE creates a smooth estimate of your data's probability density by placing a "kernel" (normal distribution curve) at each data point and summing them together. The violin plot displays this density as a symmetrical shape - wider areas indicate higher probability/frequency of values.

Key Parameters:

• Samples: Controls the resolution of the density calculation (higher = smoother, but slower performance)

• Bandwidth: Controls how much each data point influences nearby areas. Smaller bandwidth values create sharper, more detailed curves that closely follow individual data points. Larger bandwidth values create smoother, more generalized shapes that show overall trends

SyntaxExampleDefinition

DaxLib.SVG.Viz.Violin( axisRef, measureRef, color, width, height )

Parameter	Type	Required	Description
axisRef	ANYREF EXPR		Axis reference column
measureRef	NUMERIC EXPR		Measure expression
color	STRING		Optional fill color. Defaults to Power BI theme color
width	INT64		Optional: SVG width. Defaults to 120
height	INT64		Optional: SVG height. Defaults to 48

STRING SVG Violin Plot

DaxLib.SVG.Viz.Violin(
    Products[Product],  // axisRefColumn
    [Total Cost],       // measureRefExpr
    BLANK(),            // color (uses default theme)
    200,                // width
    60                  // height
)
// Returns an SVG data URI with an embedded violin plot
// Set as a measure with DataCategory = "ImageUrl"

function 'DaxLib.SVG.Viz.Violin' =
        (
            axisRef: ANYREF EXPR,
            measureRef: NUMERIC EXPR,
            color: STRING,
            width: INT64,
            height: INT64
        ) =>

            VAR _W = IF( ISBLANK( width ), 120, width )
            VAR _H = IF( ISBLANK( height ), 48, height )
            VAR _Color = IF( NOT ISBLANK( color ), color, DaxLib.SVG.Color.Theme( "Power BI", 1 ) )
            VAR _Marks =
                DaxLib.SVG.Compound.Violin(
                    0, 0, _W, _H, 0, 0,
                    axisRef, measureRef, 50, 1, _Color, BLANK()
                )

            RETURN
                IF( NOT ISBLANK( _Marks ), DaxLib.SVG.SVG( "100%", "100%", "0 0 " & _W & " " & _H, _Marks, BLANK() ) )