探索 Angular 图表中的分层数据

Drill-down charts are a type of interactive data visualization that allow users to explore hierarchical data by navigating multiple levels of detail. This makes them a powerful tool for analyzing complex data sets and uncovering hidden insights. By clicking on specific segments or elements within a chart, users can dynamically descend through the hierarchy, revealing granular details at each level. This process of zooming into specific data points empowers users to gain a deeper understanding of the overall trends and relationships within the dataset. Drill-down charts are particularly well-suited for analyzing sales figures, customer segmentation, and comparative performance metrics. Their ability to present data at multiple scales caters to users with diverse levels of data expertise, making them an accessible tool for data exploration and analysis.

Several Angular charting components provide drill down support including:

• DevExtreme Chart (part of DevExtreme Complete by DevExpress) lets you visualize data on several hierarchical levels. Data is usually generalized on the first level and becomes progressively more detailed with each level. The data source is filtered by the parentID for different drill-down views.
• Highcharts Core by Highsoft has built-in drill-down support. For column, bar and pie series, an animation occurs to help visualize that the single clicked point is extracted into a drill-down series. Multiple levels of drilling can be applied by chaining points to series.
• Wijmo FlexChart (part of Wijmo by MESCIUS) supports grouping and drill-down within a chart to initially display data points that have been grouped into categories that when clicked upon, reload the chart with the individual data points that make up the group.
• Kendo UI for Angular Chart (part of Kendo UI by Telerik) includes a drill-down function that allows users to click on a point (bar, pie segment, etc.) in order to navigate to a different view. The new view usually contains finer grained data about the selected item.

For an in-depth analysis of features and price, visit our Angular Chart comparison.

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