FacetClouds: exploring tag clouds for multi-dimensional data

作者: Manfred Tscheligi , Manuela Waldner , Johann Schrammel , Michael Klein , Dominik Unger

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摘要: Tag clouds are simple yet very widespread representations of how often certain words appear in a collection. In conventional tag clouds, only single visual text variable is actively controlled: the tags' font size. Previous work has demonstrated that size indeed most influential variable. However, there other variables, such as color, style and orientation, could be manipulated to encode additional data dimensions. FacetClouds manipulate intrinsic variables multiple dimensions within cloud. We conducted series experiments detect appropriate for encoding nominal ordinal values cloud with tags varying Results show color expressive both types, combination rotation background range leads best overall performance when showing

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