RadHeatMap can be used to visualize numeric data in a matrix like representation along two axes. Its purpose is to present the data in colored rectangles where the color of each represents the rectangle's value and makes it quite easy to perceive and compare all values.
Different visualization set up mechanisms: You can visualize the data differently based on the heat map definition. There are two definition types - Categorical and Horizontal/Vertical. Read more about this in the Definition Types article.
Colorizers: Each colorizer produces a collection of colors. RadHeatMap applies these colors to its children according to their values. You can choose from the following list of available colorizers to customize the way your HeatMap looks:
- HeatMapGradientColorizer: Represents a colorizer, which contains a set of GradientStops. It chooses the color to be applied to the RadHeatMap item's value and colorizer's gradient stops. Each GradientStop.Offset value can be absolute or relative (between 0 and 1) depending on the IsAbsolute property value.
- HeatMapRangeColorizer: Represents a colorizer, which contains a set of HeatMapRangeColor objects. It chooses the color to be applied according to the cell's value and the From and To values of each HeatMapRangeColor. The values of each HeatMapRangeColor can be absolute or relative (between 0 and 1) depending on the IsAbsolute property value.
- HeatMapDesaturationColorizer: Represents a colorizer, which reduces the level of saturation of a given StartColor depending on the HeatMapItem value. The level of desaturation can be controlled using From and To properties. Read more about this in the Colorizers article.
Selection: The control provides a visual selection of items. Read more about this in the Selection article.
Tooltips and ScreenTips: RadHeatMap supports tooltips or screentip for its items. You can further customize their content and display the details of the item itself. Read more about this in the ToolTip & ScreenTip article.
Row/Column Headers customization: You can easily customize the labels inside the row/column headers.
Labels: You can show labels in the cells generated for the plotted data.
Custom painting: RadHeatMap allows you to customize the appearance of the control as well as its elements. Read more about this in the Custom Painting article.
Legend: RadHeatMap offers built-in support for legend items – descriptions about the colorized values on the plot (released in R2 2023 SP1).
Get started with the control with its Getting Started help article that shows how to use it in a basic scenario.
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