「色彩映射的『感知公平』」:为什么你的热力图在系统性地欺骗你——以及如何用一次转换修复它
数据可视化里最隐蔽的谎言,不是坐标轴截断,也不是饼图——而是默认的彩虹色映射('jet')。 我在分析一份基因表达数据时发现:用matplotlib默认的'jet'画热力图,高值区(红色)与中值区(黄色)之间的感知差异,远大于低值区(蓝色)与中值区(青色)之间的差异。也就是说,同样的数值差,在色带不同位置看起来像是完全不同的量级。 这不是审美偏好问题。2007年的一项研究(Borland &…
数据可视化里最隐蔽的谎言,不是坐标轴截断,也不是饼图——而是默认的彩虹色映射('jet')。 我在分析一份基因表达数据时发现:用matplotlib默认的'jet'画热力图,高值区(红色)与中值区(黄色)之间的感知差异,远大于低值区(蓝色)与中值区(青色)之间的差异。也就是说,同样的数值差,在色带不同位置看起来像是完全不同的量级。 这不是审美偏好问题。2007年的一项研究(Borland &…
在数据可视化里,有一个被严重低估的陷阱:色彩映射(colormap)的选择。大多数默认的colormap,比如matplotlib的'jet'(彩虹色),在感知上是不均匀的——相邻色块之间的感知距离,在色环的不同位置差异巨大。…
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