statCount

constructor(data: Map<*, *>? = null, geom: GeomOptions = Geom.bar(), position: PosOptions = positionStack(), showLegend: Boolean = true, inheritAes: Boolean? = null, manualKey: Any? = null, sampling: SamplingOptions? = null, x: Number? = null, y: Number? = null, alpha: Number? = null, color: Any? = null, fill: Any? = null, width: Number? = null, size: Number? = null, weight: Number? = null, colorBy: String? = null, fillBy: String? = null, mapping: BarMapping.() -> Unit = {})

Parameters

data

The data to be displayed in this layer. If null, the default, the data is inherited from the plot data as specified in the call to letsPlot.

geom

The geometry to display the count stat for this layer, default is Geom.bar(), see Geom.

position

default = positionStack(). Position adjustment: positionIdentity, positionStack(), positionDodge(), etc. see Position.

showLegend

default = true. false - do not show legend for this layer.

inheritAes

default = true. false - do not combine the layer aesthetic mappings with the plot shared mappings.

sampling

Result of the call to the samplingXxx() function. To prevent any sampling for this layer pass value samplingNone. For more info see sampling.html.

x

X-axis value (this value will produce cases or bins for bars).

y

Y-axis value (this value will be used to multiply the case's or bin's counts).

alpha

Transparency level of a layer. Understands numbers between 0 and 1.

color

Color of the geometry. For more info see: aesthetics.html#color-and-fill.

fill

Fill color. For more info see: aesthetics.html#color-and-fill.

width

Geometry width.

size

Lines width.

weight

Used by the stat to compute weighted sum instead of simple count.

colorBy

default = "color" ("fill", "color", "paint_a", "paint_b", "paint_c"). Defines the color aesthetic for the geometry.

fillBy

default = "fill" ("fill", "color", "paint_a", "paint_b", "paint_c"). Defines the fill aesthetic for the geometry.

mapping

Set of aesthetic mappings. Aesthetic mappings describe the way that variables in the data are mapped to plot "aesthetics".