We conducted a series of three graphical studies to evaluate the impact displaying data on the log scale has on human perception of exponentially increasing trends compared to displaying data on the linear scale.
Questioning and context matter in graph comprehension!
How do statistically fitted trendlines compare to intuitive, visually fitted results?
How do we know if the data visualizations we create are effective at communicating our intended result?
We developed and conducted a series of three graphical tests implemented through RShiny designed to evaluate the impact our choice of scale (log/linear) has on human perception of exponentially increasing trends.
How do statistical regression results compare to intuitive, visually fitted results?