Data Viz: Confusion vs Clarity

The world is full of data. More and more data is becoming visualized through graphics with varying degrees of effectiveness. So how important is it to ensure that a visualization gets the point across?


An example of the confusion that arises from a poorly thought out data visualization. The graph is attempting to show how DUI rates spiked after the departure of Uber/Lyft. Meaningless colours and lack of visual hierarchy cause more confusion than clarity.

download (1)Getting better. This visualization is a simple graph, but it lacks explanation, colour and context.

download (2)

Got it! This example provides clarity through hierarchy provided by colour that emphasizes the spike in rates after the departure of Uber and Lyft.



Author: Austin Coll

Student studying Information Design at Mount Royal University in Calgary, AB.

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