Abstract
Data Visualization on the Web is one of the main pillars for understanding the information coming from Business Intelligence based systems. However, the variety of data sources and devices together with the multidimensional nature of data and the continuous evolution of requirements is making this discipline more complicated as well as passionate. This paper outlines a process for obtaining a multidimensional data visualization driven by both, the data and the user, providing an automatic code generation. While the designer is automatically provided with a wide range of possible visualizations for a given data set, the user can change the visualization in several ways: the dominant dimension, the kind of visualization and the data set itself by adding, removing or grouping variables.
This work has been developed under the Spanish Contract MIGRARIA - TIN2011-27340 funded by Ministerio de Ciencia e Innovación.
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Morales-Chaparro, R., Preciado, J.C., Sánchez-Figueroa, F. (2012). Data-Driven and User-Driven Multidimensional Data Visualization. In: Harth, A., Koch, N. (eds) Current Trends in Web Engineering. ICWE 2011. Lecture Notes in Computer Science, vol 7059. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27997-3_16
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DOI: https://doi.org/10.1007/978-3-642-27997-3_16
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