Saturday, June 6, 2015

Effectiveness criteria for data visualization

Effectiveness criteria for data visualization

According to research performed by Cleveland and McGill there is a difference in the accuracy in quantitative, ordinal and nominal tasks (Mackinlay, 1986). Higher tasks are accomplished more accurately than lower tasks. Tasks to perceive different positions rank as best and differences in shapes are the perceived as being the worst.

Criteria of expressiveness of the data

Criteria of expressiveness of the data

Variations that should be used for designing expressive graphs and satisfying the users information needs, should at least consider the following data characteristics (Roth and Mattis, 1998b):