We present BitConduite, a visual analytics approach for explorative analysis offinancial activity within the Bitcoin network, offering a view on transactions aggregated byentities, i. e. by individuals, companies or other groups actively using Bitcoin. BitConduitemakes Bitcoin data accessible to non-technical experts through a guided workflow aroundentities analyzed according to several activity metrics. Analyses can be conducted at differentscales, from large groups of entities down to single entities. BitConduite also enables analysts tocluster entities to identify groups of similar activities as well as to explore characteristics andtemporal patterns of transactions. To assess the value of our approach, we collected feedbackfrom domain experts.