Manuscript Title

Multidimensional Charts

Presenting Author

Andres Diaz Lopez

Paper Type

Research-in-Progress Paper

Abstract

This work presents a new visual representation of multidimensional data and compares its usefulness in terms of effectiveness and efficiency with tabular representations. This idea makes two important contributions. First, it shows the feasibility of representing multidimensional data in 2D and 3D charts that are understandable by humans. Second, it builds on the theory of cognitive fit by testing the appropriateness of graphical representations to convey information of complex problems. In particular, it shows multidimensional data representation that has not been tested, perhaps due to the lack of a suitable graphical representation. The charts proposed are better representations of information stored in data warehouses than those provided by data cubes. The proposed format can be used to represent fuzzy variables, and are suitable for implementation in dashboards.

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Multidimensional Charts

This work presents a new visual representation of multidimensional data and compares its usefulness in terms of effectiveness and efficiency with tabular representations. This idea makes two important contributions. First, it shows the feasibility of representing multidimensional data in 2D and 3D charts that are understandable by humans. Second, it builds on the theory of cognitive fit by testing the appropriateness of graphical representations to convey information of complex problems. In particular, it shows multidimensional data representation that has not been tested, perhaps due to the lack of a suitable graphical representation. The charts proposed are better representations of information stored in data warehouses than those provided by data cubes. The proposed format can be used to represent fuzzy variables, and are suitable for implementation in dashboards.