The presentation of data involves thinking about pretty much every other design feature that might be included in our visualization. Here, we are determining the following:
The use of color
The potential of interactive features
The explanatory annotation
The architecture and arrangement
The decisions we make about these layers should be focused on delivering extra meaning, intuitiveness, and depth of insight to our readers or users.
One of the key concepts throughout our judgment of presentation-related design options is to seek to make the visible, invisible. In contrast to data representation, where our objective is to make the invisible stories and insights, visible, data presentation features should almost feel invisible so that the portrayal of the data maintains visual dominance. Therefore, try to bear the following two things in mind:
Visual inference means data inference: If it looks like data, it should be data. If it isn't data then you've...