Human color perception is non-linear and uneven yet many of us have trained ourselves to use color 'linearly' till now. Will using the suggested color in a perceptual color space like CIE/ LCh/ Munsell help improve our color choices?
When you visualize data and incorporate colors, have you always considered the different usage in sequential, divergent, and qualitative data? Or is it natural for us to use a set of colors we are often used to?
Can a black& white data visualization (Varying line weights, different lightness) be as effective as a colored data visualization?