Uncovering Principles of Statistical Visualization
Visualizations are central to good statistical workflow, but it has been difficult to establish general principles governing their use. We will try to back out some principles of visualization by considering examples of effective and ineffective uses of graphics in our own applied research. We consider connections between three goals of visualization: (a) vividly displaying results, (b) exploration of unexpected patterns in data, and (c) understanding fitted models.