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Visual analytics is the science of marrying interactive visualizations and analytic algorithms to support exploratory knowledge discovery in large datasets. We argue for a shift from a 'human in the loop' philosophy for visual analytics to a 'human is the loop' viewpoint, where the focus is on recognizing analysts' work processes, and seamlessly fitting analytics into that existing interactive process. We survey a range of projects that provide visual analytic support contextually in thedoi:10.1007/s10844-014-0304-9 fatcat:mnq2g4zq6ve77cmuyq42mgb7zm