我如何学习创建美丽的信息图（与我的R知识有关）？ [英] How can I learn to create beautiful infographics (with connection to my R knowledge)?

问题描述

我是一个专门的R（r-project.org）用户和爱情信息图表。

我刚刚遇到这篇文章：
http://www.noupe.com/design/fantastic-information-architecture-resources。 html

为信息设计师提供了一长串资源。

它在我身上希望做更多的美丽（不仅仅是资料性的）R图。

你有什么建议/资源如何实现这一飞跃？

为了能够制作漂亮的图表，我需要开发哪些书籍/软件/技能？

解决方案

以下是我建议的资源列表：

Tufte的书籍非常好，尽管我最喜欢的是他的第二本书：设想信息。另外，我总是发现可视化方法的周期表是有趣的。 Ross Ihaka过去也教这门课程。

对于R，请学习 ggplot2 。 learnr.wordpress.com 博客是一个很好的资源。您可以考虑 ggplot book 和原始语法的图形书。

这是您在问题中链接的同一网站的另一篇有用的文章：数据可视化：现代方法。

有关这个主题的好博客： p>

• http：//www.informationisbeautiful。 net /


• http://flowingdata.com/

在某些情况下，您可能希望在R中执行数据操作，但可以使用另一个工具创建可视化（例如， 此列表）。以下是我多年来发现的一些最好的工具：

• 处理


• Prefuse


• Protovis

最后，一个有趣的开放可视化平台可以在许多眼睛。

I am a devoted R (r-project.org) user, and love infographics.

I just came across this article: http://www.noupe.com/design/fantastic-information-architecture-resources.html

Giving a long list of resources for information designers.

And it raised in me the desire to do more beautiful (not just informative) R plots.

Do you have any suggestion/resources on how to make this leap?

What books/software/skills do I need to have/develop in order to be able to make beautiful infographics?

解决方案

Here's a list of resources that I would suggest:

Tufte's books are really excellent, although my favorite is actually his second book: Envisioning Information. Separately, I always found the periodic table of visualization methods to be entertaining. Ross Ihaka also taught a course on this subject in the past.

For R, learn ggplot2. The learnr.wordpress.com blog is an excellent resource for this. You might consider the ggplot book and the original Grammar of Graphics book.

Here's another useful article from the same site that you linked in your question: Data Visualization: Modern Approaches.

Some good blogs on the subject:

• http://www.informationisbeautiful.net/
• http://flowingdata.com/

In some cases, you might want to do your data manipulation in R, but create the visualization with another tool (see, for instance, this list). Here are some of the best tools that I have found over the years:

• Processing
• Prefuse
• Protovis

Lastly, an interesting open visualization platform is available at many eyes.

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