syncfusion-angular-heatmap

To create an Angular heatmap, bind a 2D data array to the heatmap component and configure the xAxis and yAxis. This renders color-coded matrices for spotting patterns and outliers in complex datasets.

Angular heatmap data binding supports Numeric, Category, and DateTime axes. These axis types allow you to plot diverse datasets including time-series patterns, category comparisons, and numeric data matrices.

Yes, the Angular heatmap component supports both SVG and Canvas rendering modes. You can use Canvas rendering to achieve better performance and visual fidelity when displaying large two-dimensional datasets.

Yes, you can add tooltips, cell selection, and interactive events to your Angular heatmap. These interactivity features, along with accessibility considerations, help users explore data points within inclusive dashboards.

Using an Angular heatmap with DateTime axes is an effective way to visualize time-series patterns. It color-codes two-dimensional data matrices, allowing users to quickly spot temporal trends and outliers without manual plotting.

Yes, bubble heatmap variants are available for Angular category comparisons. They provide an alternative visual representation within the heatmap component to deliver production-ready visuals for complex datasets.