We explore a multiple view, or overview and detail, method for visualising a high-dimensional portfolio holdings data set with attributes that change over time. The method employs techniques from multidimensional scaling and graph visualisation to find a two-dimensional mapping for high-dimensional data. In both the overview and detail views, time is mapped to the third dimension providing a two and a half-dimensional view of changes in the data. We demonstrate the utility of the paradigm with a prototype system for visualisation of movements within a large set of UK fund managers’ stock portfolios.
|Number of pages||18|
|Publication status||Published - 1997|
- 2 1/2D
- graph visualization
- multidimensional scaling