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原始链接: https://news.ycombinator.com/item?id=43470971
Hacker News 上的一个帖子讨论了数据可视化创新似乎正在衰退。一些评论者将其归因于有效技术的标准化、用户对现有视觉语法的熟悉以及该领域的成熟。Jeffreyrogers 认为我们已经很大程度上解决了数据可视化的问题。 0xbadcafebee 哀叹基于 Web 的可视化的局限性,主张使用提供更大自由度的原生应用程序。Chiffre01 指出,简单的图表仍然是快速传递信息最有效的方法。 Avshalom 和 rqtwteye 批评那些视觉效果惊艳但却无用的可视化。Fullshark 指出,经济因素有利于选择更便宜的参与方法,而不是创新的可视化。其他人,例如 LikeBeans、vinyl7 和 findthewords,则将停滞归因于 MBA 驱动的决策、关注短期利润和低利率等因素。
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So basically there's less innovation in data visualization because we mostly figured out how to solve our data visualization problems. If you look at the history of printed visualizations I think you'd find a similar pattern. The only somewhat recent innovation I can think of there is the violin plot, which became possible due to advances in statistics that led to probability distributions becoming more important.
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