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VisActor
by VisActor

generate_heatmap_chart

Visualize intensity or density patterns between two discrete variables using a heatmap chart. Generate clear insights into association and distribution characteristics of data points with customizable dimensions, measures, and chart themes.

Instructions

Generates a heatmap chart based on a Cartesian coordinate system. It is used to visualize the intensity or density of values at the intersection of two discrete variables, suitable for revealing association patterns and distribution characteristics between variables.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
backgroundNoChart background color (hex). Optional, defaults to white.
chartThemeNoChart theme. Optional, defaults to 'light'.
colorsNoColor palette for chart elements.
dataTableYesHeatmap data array, e.g., [{ gender: 'male', age: '20-30', size: 30 }].
heightNoChart height. Optional, defaults to 500.
outputNoChart output type. Defaults to 'image'.image
sizeFieldYesMeasure field. Must be numeric and exist in the data.
subTitleNoChart subtitle text.
titleNoChart title text.
titleOrientNoTitle position in the chart.
transposeNo
widthNoChart width. Optional, defaults to 500.
xAxisHasGridNoShow vertical grid lines for the X-axis.
xAxisHasLabelNoShow X-axis labels.
xAxisHasTickNoShow X-axis ticks.
xAxisOrientNoX-axis position in the chart.
xAxisTitleNoX-axis title.
xAxisTypeNoX-axis type: categorical ('band') or continuous ('linear').
xFieldYesDimension field. Must exist in the data.
yAxisHasGridNoShow horizontal grid lines for the Y-axis.
yAxisHasLabelNoShow Y-axis labels.
yAxisHasTickNoShow Y-axis ticks.
yAxisOrientNoY-axis position in the chart.
yAxisTitleNoY-axis title.
yAxisTypeNoY-axis type: categorical ('band') or continuous ('linear').
yFieldYes

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