The American Recovery and Reinvestment Act dedicated $787 billion
to stimulate the US economy and mandated the release of the
data describing the exact distribution of that money. The dataset
is a large and complex one; one of its distinguishing features is
its bi-hierarchical structure, arising from the distribution of money
through agencies to specific projects and the natural aggregation of
awards based on location. To offer a comprehensive overview of the
data, a visualization must incorporate both these hierarchies. We
present TreeCovery, a tool that accomplishes this through the use
of two coordinated treemaps. The tool includes a number of innovative
features, including coordinated zooming and filtering and a
proportional highlighting technique across the two trees. TreeCovery
facilitates the exploration of the data in an intuitive way and
promises to be helpful in insight generation. RATB(Recovery Accountability
and Transparency Board) has tested TreeCovery and
considering to include the concept into their visual analytics.
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