程阳：数据可视化选择图表类型的一般原则

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数据可视化的方法有很多种，可视化专家Andrew Abela 认为可视化方法大致可分为6大类数十种方法，譬如数据可视化、信息可视化、概念可视化、战略可视化、象征可视化、复合可视化。那么在可视化的过程中，如何选择合适的图表类型呢？

Chart Suggestions: A Thought Starter (Andrew Abela)

What It Shows

This infographic helps people who want to graphically represent data. Starting at the middle, it offers paths to the ideal graph to express whatever type of data they have, for relationship, comparison, distribution, and composition mapping.

Why It’s Good

When I first saw this, I felt like I finally got what I was looking for, and yet I wasn’t fully aware that this kind of breakdown was possible. It’s so intuitive to understand, and remarkably thorough. It may not have everything, but it has a lot, and it covers what it covers cleanly and elegantly. Just start at the center and follow the paths.

What It’s Missing

Artistically, there isn’t much spice to this. It’s a bit dry, which the colorlessness doesn’t help. Even the font selection seems to lack thoughtfulness and aesthetics. Still, it’s not like it’s ugly. Plus, the small drawings of each final chart type are what matter most, and they are completely clear.

Andrew Abela’s very useful infographic was first made available here.

http://extremepresentation.typepad.com/blog/2006/09/choosing_a_good.html

http://www.infographicsblog.com/chart-suggestions-a-thought-starter-andrew-abela/