Generic Visualisation Style looking for Multi-Dimensional Data Explorations
An Invitation to MSc Students to Gather, Differentiate and Learn from Layering mD Data
In December 2012 I posted I’ve turned the mathematical curse of dimensionality into the Software Solution of Layering Complex Data on an old blog.
More recently I met a developer who liked the challenge of turning my offline prototype into an online Smart Knowledge Engine.
It is now work in progress and has produced these screenshots of ‘layering’ multi-dimensional data:
|In Visual 3D we unclutter into Layers the series that Excel draws on top of each other|
|Excel||The same data layered – with controls to vary ‘visual comparability’|
|Three air pollutants
in daily, weekly and 2-weekly series
|The same data
layered with controls to ‘compare and contrast’ visually
|Five air pollutants
in daily and weekly series
|The same data in ten layers where the colour scheme can be varied|
The challenges now are
- To find compelling data sets illustrating insights that could not have been gained from using conventional visualisation methods;
- To describe not only the data sets used and their source, but, above all, the problems they address, the insights gained and their value – whether theoretical, practical, for policy, grant writing or other purposes.
The input data must simply consist of a single spreadsheet which can also contain a chart of the input.
Data sets abound in the public domain, but UCL may have its own recommendations and preferences.
As a pre-start-up SME, we are not in a position to provide any finance. But as the mathematician and software designer, I am available to supervise any time and liaise with my developer, when needed.