To install boost statically linked libraries: https://stackoverflow.com/a/24086375
For each dataset, you will need a .hierarchy, .trace and .names file.
See here for more information.
To run the planar embedding visualization
make embed_trace
./embed_trace traces/[file].names json/[write to file].json [--trimdegree=n] < traces/[file].trace
python -m SimpleHTTPServer
Open http://localhost:8000/js/scatterplot.html?file=[write to file].json" You'll need to wait a bit for file to load
To run the class hierarchy visualization
make class_hierarchy_driver
./class_hierarchy_driver traces/[file].hierarchy traces/[file].names json/[outfile].json < traces[file].trace
python -m SimpleHTTPServer
Open "http://localhost:8000/js/treemap.html?file=[write to file].json" You'll need to wait a bit for file to load
NOTE: there is some filtering and data processing occuring in javascript to clean up the visualization. This is specialized for the batik dataset, and will not necessarily work in the general case.