Posts tagged dvt
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One of my favorite areas of ADF is Data Visualization. The rich, interactive and (un)usually attractive components that allow me to spice up an ADF application in a very easy straightforward way have a special appeal. We all know that pictures speak volumes. And that a plain table presents data while a carefully designed visualization presents information and perhaps even a call to action. One of my highlights during Oracle Open World 2012 was – not surprisingly – the presentation by the ADF DVT team – Katrina, Hugh and Jairam – together with Yiannis and Vangelis from PCS in Greece who built a wonderful ADF application for private investment management, with beautiful and very effective data visualizations all over the place.
The story of ADF DVT is one that started probably even before ADF with the BI Beans and before that perhaps even with Oracle Graphics. However, forget about all that history and look to the present and the future. No presentation of Fusion Applications is held without showing off its many data visualizations as a means to turn data into information and information into action. Drawing the user to exceptions, deadlines, alerts, patterns and items to act on is More >
This morning, I noticed the following email sitting in my Inbox: “Hello, Lucas.
I found Hierarchy Viewer demo from http://technology.amis.nl/blog/5786/adf-11gr1-new-hierarchical-viewer-for-visually-pleasing-representation-of-data-structures.
But i need to implement some kind of solution. I attached my expected mockup and table structure.
Is it possible? If possible, please suggest me how to do that and put your solution based on your experience.
I’m looking forward to hearing from you soon.”
Obviously, I normall completely ignore such emails – I do have a job you know, and some semblance of a normal life too. However, this email triggered me in some way. And between other more important things, I tried to create the desired hierarchy. The mock up looks like this:
The most challenging part is probably to get the query right. Once that query is defined – in a ViewObject with a selfrefencing ViewLink – creating the hierarchy is very straightforward. Some final styling is required – and a different design to the Radio Buttons, because those are not supported in the Hierarchy Viewer – but otherwise I think I did the job. My end result looks like this (from far away):
Note that the More >
The final episode in a series on ADF DVT applied to the Tour de France 2011 results. In this series, I have used many of the ADF DVT Graph components. In this article, I will use the Spark Chart component to integrate condensed data visualizations inside a table with ‘regular’ data.
The result is a table that lists the top 10 of the final overall ranking of the Tour de France, with for each ride in the top 10 two spark charts:
- the positition in the overall standings at the end of each stage
- the gap with Cadel Evans at the end of each stage (needless to say this chart is fairly pointless for Cadel Evans himself)
The resulting page with the table including the two spark charts looks like this:
Note that the Spark Chart for overall rank displays the #1 position at the top and lower rankings towards the bottom.
We can see from the table how for example the number 10 – Peraud – gradually worked his way up in the ranking – while just as gradually getting further behind Cadel Evans. We also see how Voeckler came to the top somewhere midway and then ever so slightly had to let go of that top position. Only the first three days and the last three days saw him behind Evans.
Tour de France 2011 – Analysis using ADF DVT Graphs – Part 3 – Distance, Speed and Withdrawals with Pareto, Combination, Stock Chart (High/Low) and Bubble Chart0
Another article on analyzing and visualizing the results from the Tour de France 2011 using the ADF DVT components. This article uses the same set of data already discussed in several previous articles – including the standings per stage as well as the overall standings after each stage. This article will focus on using the combination graph, the bubble graph and the high/low (aka stock) chart for taking a closer look at speed, length and withdrawals (and any connection there can be between these aspects).
Some of the pretty pictures created in this article:
Using the ADF DVT Radar Graph for comparing series – further analyzing ODTUG Kaleidoscope 2011 Session Schedule0
I have always had a fascination for the Data Visualization capabilities of all the tools and technologies I have worked with. For example: I worked with Oracle Graphics 2.0, back in 1994, and liked it! Fast forwarding through the years – I am now wetting my appetite with ADF’s Data Visualization Tags (DVT) – an impressive array of graphs, gauges, charts and other ways of visualizing data.
One interesting type of graph that I have not actually used before, is the Radar Chart. It is an interesting type of visualization that can plot in one graph values for multiple series against multiple dimensions and make it easy to compare them (the series) with one another. Granted, you can do something similar with a multi-series line chart, yet the comparison is somewhat more pronounced in the radar graph.
See for example the next graph. It plots values for three series – each serie represents a region in the world. For each of the tracks at the ODTUG Kaleidoscope 2011 conference, the percentage of sessions in the track delivered by presenters from the region represented by a serie is plotted. Thus we can see that over 90% of the sessions in the BI and Oracle EPM track is delivered by More >