Posts tagged pivot table
Using ADF 11gR2 DVT component Pivot Table for an on-line analysis of the ODTUG Kaleidoscope session catalog
0ADF comes with a rich collection of component that allow us to visualize and analyze data in ways that previously were only available in fancy OLAP and other BI tools. Now, our own custom developed ADF applications can offer those same fancy capabilities using ADF DVT. Note that Oracle’s BI tools – such as OBI EE – make use of those same components.
This article demonstrates the use of the Pivot Table component – as it is currently shipped in ADF 11gR2. This component presents data in initially very condensed, highly aggregated form and allows the user to ‘slice and dice’ and drill down and aggregate along various dimensions.
The Pivot Table is used in this case to analyze the data for the sessions scheduled for the ODTUG Kaleidoscope 2011 conference, later this month, in Long Beach, California. The article will demonstrate that just a few, declarative steps and about 10 minutes of your time are quite enough to include rich analytical capabilities in an ADF application.
The initial Pivot Table shown to the user looks as follows:
Creating a Salary Heat Map with the ADF 11g Faces PivotTable component
A heat-map according to the definition found in Wikipedia is "a graphical representation of data where the values taken by a variable in a two-dimensional map are represented as colors." This representation is used to quickly interpret a potentially large number of values in what can be sizable grid of values. Heat-maps are used to find hot-spots and cool areas – to determine for example deviations from the average or threshold value.
This article shows how the PivotTable in the ADF 11g RichFaces Data Visualization Tags library can be used to create such a Heat Map. In just a small number of simple steps, this heat-map can be realized. We will see this in an example: a heat-map based on the grid of Job vs. Department with average Salary in the cells. The heat-map should quickly tell us which jobs and which departments pay well or lousy.
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