Progress Telerik UI for Blazor

Scatter Chart

Blazor Scatter Chart Overview

A Scatter Chart (also known as scatter plots or graphs) uses dots to represent values for two numeric variables. Scatter plots can be used in both Blazor WebAssembly (WASM) and Server-side dashboard applications to observe relationships between numerical values such as scientific experiment data or parametrized test results.

Example of scatter chart in Blazor applications.
Scatter Chart Data Binding

The Scatter chart component can be bound to various data sources.

More about chart data binding in Blazor.
Customizing Scatter Chart Elements

You can customize all aspects of the Scatter chart – from the series color and marker, to its labels content, font, size, position, and the axes lines, markers and formatting.
Scatter Chart Markers

Each data item in the Scatter chart component is denoted by a marker. You have full control over the marker visibility, size (in pixels) and type: circle (default), cross, square and triangle.
Scatter Chart Multiple Axes

The Scatter Chart can render more than one axis in each dimension and you can associate each series with its own axes. This lets you show data that varies on orders of magnitude in the same chart without loss of detail.
Scatter Chart Rendering Modes - Canvas/SVG

The Scatter Chart renders in the browser to preserve server resources. It has SVG markup and <canvas> rendering modes to improve performance further, and it can even animate during rendering for a smoother user experience.
Scatter Chart Globalization

The Label Format Strings in UI for Blazor Scatter chart, are culture aware so your users see, for example, the expected number formats with the decimal and thousands separators they are used to.
Scatter Chart Theming

The Telerik Blazor Scatter component has several built-in themes such as Default (our own styling), Material (based on the Material Design guidelines) and Bootstrap (which looks like the Bootstrap styling to integrate better). Each theme predefines several series colors, so your data is visualized according to your design guidelines.