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Instead of learning from many excellent visualizations of different data sets, what can one learn from investigating different visualizations of an identical data set? Accordingly, communication designer Lauren Manning decided to represent the same dataset in over 40 different ways [flickr.com], ranging from simple to complex, and from literal to abstract. The resulting data representations, infographics and illustrations explore various visualization methods, techniques, styles, degrees of complexity, and context, among many other varying elements.

The dataset that was consistently used includes the time and frequency with which different foods were consumed by the author over a time period of 2 years.

The work also includes the distribution of "experience cards", which aims to track the differences in user experience, by asking people to report what visualization they checked out first, looked at the longest, thought was the most effective or thought was the least effective.

Via datavisualization.ch.