> Perhaps no person is more responsible for giving data visualization a scientific foundation than... William Cleveland. His studies on #GraphicalPerception, the cognitive processes people use to understand a chart, are among the earliest attempts to study #visualization and develop a theory of how it should be best done.
> The cleaner, #MinimalistCharts in vogue today owe a great debt to #Cleveland.. to avoid pie charts and stacked bars. https://priceonomics.com/how-william-cleveland-turned-data-visualization/
#WilliamCleveland

> Perhaps no person is more responsible for giving data visualization a scientific foundation than... William Cleveland. His studies on #GraphicalPerception, the cognitive processes people use to understand a chart, are among the earliest attempts to study #visualization and develop a theory of how it should be best done.
> The cleaner, #MinimalistCharts in vogue today owe a great debt to #Cleveland.. to avoid pie charts and stacked bars. https://priceonomics.com/how-william-cleveland-turned-data-visualization/
#WilliamCleveland

> Cleveland examined how accurately our visual system can process visual elements or “perceptual units” representing underlying data. These elements include markers aligned on the same scale (e.g., #DotPlots, #ScatterPlots, ordinary #BarCharts), the length of lines that are not aligned on the same scale (e.g., stacked bar plots), area (#PieCharts and mosaic plots), angles (also pie charts), shading/color, volume, curvature, and direction...
#WilliamCleveland #RobertMcGill

> Cleveland examined how accurately our visual system can process visual elements or “perceptual units” representing underlying data. These elements include markers aligned on the same scale (e.g., #DotPlots, #ScatterPlots, ordinary #BarCharts), the length of lines that are not aligned on the same scale (e.g., stacked bar plots), area (#PieCharts and mosaic plots), angles (also pie charts), shading/color, volume, curvature, and direction...
#WilliamCleveland #RobertMcGill