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Dataset Information

LineUp: visual analysis of multi-attribute rankings.


ABSTRACT: Rankings are a popular and universal approach to structuring otherwise unorganized collections of items by computing a rank for each item based on the value of one or more of its attributes. This allows us, for example, to prioritize tasks or to evaluate the performance of products relative to each other. While the visualization of a ranking itself is straightforward, its interpretation is not, because the rank of an item represents only a summary of a potentially complicated relationship between its attributes and those of the other items. It is also common that alternative rankings exist which need to be compared and analyzed to gain insight into how multiple heterogeneous attributes affect the rankings. Advanced visual exploration tools are needed to make this process efficient. In this

SUBMITTER: Gratzl S 

PROVIDER: S-EPMC4198697 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature