A Space-Filling Multidimensional Visualization (SFMDVis) for exploratory data analysis
- Publication Type:
- Conference Proceeding
- ACM International Conference Proceeding Series, 2014, 2014-August (August), pp. 19 - 28
- Issue Date:
Copyright 2014 ACM. We introduce a new Space-Filling Multidimensional Data Visualization (SFMDVis) that can be used to facilitate the viewing, interaction and analysis of the multidimensional data with a fully utilized display space. The existing multidimensional visualizations typically create visual clutter and over-plotting that make it difficult for interaction with data items directly. Our new space filling technique uses horizontal lines to represent multidimensional data items. Each line is logically divided into segments based on color mapping in order to denote the data item with its value. The proposed visualization is space efficient and also avoids the visual clutter and over-plotting problems as we have often observed in other visualizations. In addition, we allow user to interact directly with data on the display which is more intuitive and efficient than other means.
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