Developer Partner Community

  • November 3, 2014

ADF 12.1.3 – Highlights in Data Visualization (DVT) by Lucas Jellema

Juergen Kress
PaaS & Middleware Partner Adoption

One of my favorite areas in ADF Faces always has been the Data Visualization [Tags] aka DVTs. I feel that we make far too little use of the power of visualization to present information and even call to action to our end user instead of raw data – as we frequently do today. The table component is probably the most widely used component in all of ADF Faces – even though it is most often used to just present raw data.

The DVT components in stark contrast are overlooked or regarded as just a nice to have. I hope to bring about a change – making designers, developers and end users themselves more aware of the value of visualizations. Oracle Fusion Applications and especially the simplified UI provides an excellent example of how visualizations can be used to help end users focus on what is relevant: aggregate, exception, trend, comparison etc.
ADF 12.1.3, freshly released, brings a next wave of enrichment of the DVT components. Allowing developers to create even more useful and appealing visualizations. In this article, I want to describe and show some of these new features.

Client Side Charting Solutions
The DVT team is leveraging an increasing number of HTML 5 features. After the introduction of HTML (5) as rendering option next to Flash, we now see a rapid acceleration of the use of HTML 5 facilities. One area where this happens is with the client side charting solutions. This involves a number of chart types (Bubble, Pie, Bar, Horizontal Bar, Line, Pie, Area, Scatter and more) for which client side operations such as hide/show of series, rescale and zoom/scroll + navigate in overview window are supported. Because these operations are handled entirely on the client side, the interaction is much smoother and faster than with the server driven charts.
An example is shown below. Both pictures are based on the same data. On the left, the overview window is focused on a six month period. On the right, the time selection has been enlarged to contain over three years. Resizing and refocusing the time window is a smooth , client side operation that constantly synchronizes the line chart shown on top. Read the complete article here.

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