2015年1月8日 · You simply follow three steps: Upload your public data set. Visualizations created on the Many Eyes website work from simple data formats, such as a spreadsheet or text files. Select from a wide variety of visualizations or one recommended by Many Eyes. Unleash your insight by sharing your visualization over the web.

IBM's [Many Eyes] recognizes that 70 percentof our sensory input neurons in our brain our focused on visual inputs, and so we might recognize patternsif only data was presented in more interesting and visual representations. In addition to X/Y axis, variables can be presented by size of circle and color.

We describe the design and deployment of Many Eyes, a public web site where users may upload data, create Interactive visualizations, and carry on discussions. The goal of the site Is to support collaboration around visualizations at a large scale by fostering a social style of data analysis In which visualizations not only serve as a discovery ...

2018年4月11日 · Many Eyes (http://many-eyes.com)它是一个在线应用，带有一系列交互式的可视化工具，可以识别带分隔符的文本文件。 Many Eyes 的初衷是想了解人们能否以群组的形式探索大型数据集。

Many Eyes是IBM从2006年开始搭建的实验网络平台，提供制作可视化图表的服务。

We describe the design and deployment of Many Eyes, a public web site where users may upload data, create interactive visualizations, and carry on discussions. The goal of the site is to support collaboration around visualizations at a large scale by fostering a …

Many Eyes was a free site where anyone could upload, visualize, and discuss data. It was an experiment created at the IBM Visual Communication Lab, running from 2007 - 2015.

2007年11月1日 · PDF | We describe the design and deployment of Many Eyes, a public web site where users may upload data, create interactive visualizations, and carry on... | Find, read and cite all the research...

A screencast demonstrating how to build simple interactive graphics with Many Eyes, a free online tool from IBM.

2015年3月30日 · Described as a tool that democratizes data visualizations, the appeal of Many Eyes is that anyone with a good set of data can make attractive visualizations. Here’s how their website explains it: