Method for Data Visualization within a Multi-Dimensional Space
Publication Date: 2016-Jun-02
The IP.com Prior Art Database
Data Visualization for an n- dimensional space by multidimensional axes introduces a new approach in the visual display of data points instead of placing the data point within a space by fix coordinate axes, like i.e. in the Cartesian coordinate system for 3 dimensions.
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Method for Data Visualization within a Multi -
Traditional visualization's within a graphical user interface allow for 2- dimensional or 3- dimensional display of the data. Some solutions do extend this to few more dimensions by help of color coding, size coding, shape coding or shade coding of the displayed data point. This is usually limited, i.e. allowing only a few discrete values per additional 'dimension'. There is no known solution for visualizing data points in an n- dimensional space if n has to be significantly larger than 3. Vectors are already used to describe multi-dimensional data, but there is no known visualization within an n- dimensional space.
In the new approach the data point itself acts as the origin for an arbitrary number of axes. The intersection of those axes is determined by the specific values the data point has in the various dimensions, in opposition to known coordinate systems
where the axis intersect in the origin (0,0,0,...0). In the new approach the coordinate axes positioned so that they intersect in the data point. The origin (0,0,0,..0) known from the old approach becomes irrelevant here. The n- dimensional state of the data point is therefore visualized by the orientation and position of the axes. Manipulation of the data point requires to further manipulate one or more axes. The manipulation of the data point can be illustrated by a changed display of the data point itself, and or by popping up a window me...