Blazor Toolkit
Numeric Axis

A numeric axis is used when plotting quantitative values where equal intervals between numbers are required. It is commonly applied to year‑based, measurement‑based, or statistical datasets. In the Syncfusion Blazor Toolkit, numeric axes are enabled by setting the ValueType property of an axis to ValueType.Double. You can control the scale using Minimum, Maximum, and Interval properties, ensuring precise visualization of numeric trends.

Range

Range charts highlight value progression within a defined numeric axis, making subtle variations easier to interpret across a limited scale. In the Syncfusion Blazor Toolkit, this visualization is achieved using a SplineArea series with explicit axis ranges. Gradient fills can be applied using SVG definitions and referenced through the Fill property for enhanced visual emphasis.

Range Padding

Range padding controls the spacing added before the minimum and after the maximum values of an axis, helping prevent data points from rendering too close to the Chart boundaries. In the Syncfusion Blazor Toolkit, range padding is configured using the RangePadding property of an axis. Supported options include None, Normal, Round, Additional, and Auto.

Label Format

Axis label formatting improves readability by displaying numeric values in meaningful representations such as currency, percentages, or compact notation. In the Syncfusion Blazor Toolkit, label formatting is applied using the LabelFormat property of an axis. This allows values to be rendered using predefined or custom format strings, ensuring consistency with business‑friendly data presentation standards.

Custom Label Format

Custom label formats allow numeric axis values to be displayed with domain‑specific units or symbols, improving clarity and context. In the Syncfusion Blazor Toolkit, this is achieved using the LabelFormat property of an axis. You can embed tokens such as {value} along with custom text (for example, units like °F) to create precise, readable labels without altering the underlying data.

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