Hey everyone, our project was featured on Polis today!

Y’all, trying to outline ‘Dimensions of Visualization’ as a strategy for analyzing the effectiveness and purpose of representations of data.

Here’s how I’ve been defining them so far:

• A visualization that makes use of the Spatial Dimension typically presents the orientation, proximity, directionality, overlap, or gaps of data points. Most often, spatial visualizations are possible through the use of coordinates or overlaying data on a map or diagrammatic abstraction of a place.
• A visualization includes the Temporal Dimension when data is represented relative to a particular scale and interval of time. The full dimensionality is explored when data is not presented as a singular snapshot in time, but instead illustrates changes or patterns as continuous snapshots over time.
• A visualization that incorporates the Compositional Dimension illustrates the constituent elements, make-up,configuration, structure, or framework of the subject of the data. An example is using icons for data points that illustrate what each data point might represent, rather than simply an abstract shape.
• A visualization with a Behavioral Dimension demonstrates patterns through data that articulate activity, choice, conduct, or response of the subject.
• A visualization employing a Characteristic Dimension moves beyond solely the composition of the data subject, but displays quality, grade, strength, or intensity.
• A visualization that incorporates a Perspectival Dimension incorporates opinion, preference, opposition, or attitude, most often tied to survey data or polling.

I think this last one could use a different name, but I just can’t put my finger on it… any thoughts?