The same experiment was done, this time they developed bar charts, line charts, and scatterplots with three different levels of aggregation.
This time the type of chart had only a small effect on participants’ ratings of causality. Much more significant, however, was the effect of aggregation level. Across all different visualization styles, people saw aggregated data as more causal than less aggregated data.
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Similar ideas to More Aggregation, More Assumptions of Causality
An experiment was done to find out whether these styles(bar charts, line charts, scatterplots, and plain text) differ in how "casual" they make the data appear to people.
4 correlations were chosen to display visually. 4 different visualizations for each scenario.
Each participant...
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