John Simpson who is programming the Data Warehousing experiment at the University of Alberta has developed a new graph for us that uses the dygraphs Javascript Visualization Library. One of the things it allows us to do is add annotations (the boxes with letters like [C]) with key historical events for people to use to orient themselves. It also allows users to zoom in and out and explore the graph in other ways.
Those following the Criminal Intent project may wish to experiment themselves with a related project that does text mining on Victorian books. In particular, the team at Mason plans to compare some of the topic graphs from the nineteenth century with subject matter in the Old Bailey. And while you’re exploring some of those graphs, be sure to read the caveats, which likely apply here as well.
Tableau Display of Subset of Old Bailey Data
At the Mind the Gap workshop a Criminal Intent team experimented with a number of promising data visualization and mining techniques. For example we tried a “data warehouse” visual comparison model using the Tableau software on data formatted for it. The image above shows how we can compare based on structural information. Here is a visualization using correspondence analysis.
Correspondence Analysis Visualization
Now we have to select the most promising and develop the ideas.
Normalized Compression Distance
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