Argus data aggregation is the basis of a complete family of Argus analytics. Raw argus data is a type of quantum of network activity data, the proto data element if you will. Most analytics will involve merging / aggregating raw argus data into a set of datasets that best represent the data needed to perform the statistical analysis.
Building a list of active IP addresses in the network for a specific time range and reporting on, say, peak bandwidth utilization, involves aggregating all the data in the time range, in a way that preserves one of the addresses in the records and accumulates the metrics. While it is rather complicated, as argus has a lot of identifiers, metrics and attributes which need their own methods, the tools are available to make it pretty easy.
The open source project is working on optimizing its set of aggregation methods as well as creating new ones.
There are a lot of topics to present here. These images are links to efforts that use argus data for visualization. Some are references to other web-sites and other projects, so you may wind up somewhere else in the Internet, but hopefully you will find it interesting. Not all of the references are to "active" projects, but as long as the links are working, all do refer to code that is available for implemenation, or are descriptive enough to provide a good example as to what/how people are visualization argus data.
This page is in no way "complete", and more work is coming in the next months. But, please send any suggestions for additional images, and HOW-TO's for graphing and do send any links that have visualizations that you created using argus data.
Each of the pages should be somewhat descriptive.