Comments (3)
想到之前看过一篇类似讲图表会骗人的文章,通过调整坐标轴的基数让原本差异不大的几组数据显得差异特别大 https://blog.heapanalytics.com/how-to-lie-with-data-visualization/
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人脑处理图形效率高于文字嘛,前端要做的也是提升人机交互效率,通过图形可以几倍甚至几百倍提高理解速度。
深度学习+可视化方向,就是不但让人类读懂图,让机器也读懂。未来可能很少会接触到数据化的数据,图形化数据可能成为标配,基于此的抽象会更有用,比如文中的图表转换。。
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@jasonslyvia 是的呀。 人眼通过斜率和高度来对比差异,如果一不留神很容易被骗了。这让我想到,数据和语言一样,换种方式表达,翻译出来的意思就完全不同了,如果数据的表达方式能和语言一样,有一些固定的语法和规则,是不是能够减少表现上的歧义呢?
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