Time has many roles in data visualization. Data on specific topics are collected over time, as in the London Bills of Mortality. The value of a numeric variable over time lends itself to a timeplot. Collections of images of a rapidly occurring phenomenon at discrete time points, such as Muybridge’s galloping horse, Marey’s falling cat, and Edgerton’s milk drop, allow the viewer to replace brief real time experience with a leisurely consideration of a sequence of images organized in space. Reversing this, data visualization can recruit motion perception by accelerating time with rapid animations of two-dimensional visualizations of data from widely separated time points. Motion perception may also be used by mapping a non-time variable to the passage of time.