An Oracle blog about Data Visualizations

  • July 1, 2016

JET 2.0.2 Release and New Data Visualization Features

Guest Author

JET 2.0.2 was released on Monday, June 20th. This minor release of JET includes
more performance improvements, along with the new data visualization features detailed below. For more information,
see What's New in Oracle JET v2.0.2 blog article.

Custom Fills and Strokes

Custom fills and strokes can now be applied to the chart data and reference objects using the new style and className options. These new options correspond to the style and styleClass DOM attributes and override any other styling set through the component options, enabling the use of custom gradients, patterns, filters, and other SVG style properties.

chart custom fills and strokes

Drag and Drop

Drag and drop support has been added to chart, allowing dragging of the data items, series, and group objects and dropping to the plot area, axes, and legend. Built using HTML5 drag and drop, this feature also supports dragging to and from other components

chart drag and drop

Thematic Map Basemaps

GeoJSON can now be used to define custom basemaps for thematic map, and built in basemaps can now be loaded explicitly using RequireJS.

thematic map map provider

Tooltip Knockout Templates

In addition to the JavaScript renderer for custom HTML content in tooltips, knockout template support is now available. This is especially useful for sharing tooltip customizations across visualizations that display different aspects of the same data set.

Other Enhancements

  • The whenReady API has been implemented for diagram, gauge, legend, picto chart, spark chart, sunburst, tag cloud, thematic map, and treemap. Previously added for chart, data grid, and list view in the v2.0.0 release, this API returns a Promise that resolves when the component is ready, such as after rendering and animations are complete.
  • The chart's drilling and selection event listeners have been enhanced to include the original data, seriesData, and groupData objects as fields on the uiobject. These fields can be used to retrieve the value and other information about the targeted data item.
  •  Diagram panning can now be restricted to a single direction (horizontal or vertical) and node label alignment can now be customized.
  •  Performance has been improved for rating gauges, categorical axis charts, and stacked charts.

To learn more about data visualization features in JET and best practices, visit JET Data Visualizations FAQ.

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