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Thanks, I read OPs article twice and still didn’t have a clear understanding for the application of this visualization technique.

Animated it would be useful for an air/fuel gauge project I’m working on for a track car.

Confined display area, Target stoichiometric value (14.7). Current ratio. Historical average.

That makes more sense. It’s still horribly non-intuitive. In particular, I don’t like the “qualitative” background shading technique, because it makes it appear as if a “satisfactory” performance is all of bad, good and satisfactory at the same time. Why not simply mark those thresholds under the scale of the x-axis? The background shading is disproportionately distracting, considering what little information it encodes.

That said, I can see maybe it would help when you are stacking multiple of these on top of each other and each has its own qualitative ranges.

This actually makes a lot more sense now. I was trying to figure out how this wins in comparison to a standard bar graph with markers. It says information density in the OP, but it never gives an example of how it consolidates information without obscuring it.