It enables users to interactively combine attributes and flexibly refine parameters to explore the effect of changes in the attribute combination. This interactive technique supports the ranking of items based on multiple heterogeneous attributes with different scales and semantics. Based on these considerations, we propose LineUp - a novel and scalable visualization technique that uses bar charts. In our paper we present a comprehensive analysis of requirements for the visualization of multi-attribute rankings. Advanced visual exploration tools are needed to make this process efficient. 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. 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. This allows us, for example, to prioritize tasks or to evaluate the performance of products relative to each other. 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. LineUp: Multi-Attribute Rankings LineUp is an interactive technique designed to create, visualize and explore rankings of items based on a set of heterogeneous attributes.

Best data visualization tools rank