‘3D Diagrams’: Uncluttering Complex Data

Layering high-dimensional data is one of the three generic software methods that are the result of my innovative mathematical spaces and transformations. When talking about its benefits with a mathematician and programmer, the term ‘3D Diagrams’ was born – with the description of being ‘uncluttered’.

For I was using data from the London Air Quality Network which has been recording measurements of pollutants and weather conditions over 200 sites, but a lot of them have been closed.

Regarding the visualisation of the measurements recorded:

  • a maximum of six sites can be plotted;
  • a maximum of six pollutants or weather conditions per site can appear in a graph.

Excel is not limiting the amount of data, but produces a similarly ‘cluttered’ graph:

15 10 16 NO2 15 Min 4 sites cut Chart 9 sites NO NOX NO2 D
London Air Network Excel
Laqn 9 sites NO NOX NO2 D Laqn 9 sites NO NOX NO2 D sorted
Uncluttered ‘3D Diagram’ – with spatial and temporal dimensions as vertical ‘layers’ ‘3D Diagram’ – with Layers Sorted – thanks to new Metrics

The benefits:

  • real ‘uncluttering’ occurs when the layers are sorted;
  • any number of sites and pollutants can be visualised;
  • new quantifications, i.e. ‘metrics’ can be derived.

To be able to monitor trends in an innovative way:

  • weekly and 2-weekly data is visualised to ’embrace’ daily recordings
  • the ‘visual space’ for even more ‘visual clarity’ will be improved in future versions.
 15 10 28 Excel NO  2 NO
Excel: NO (Nitron Oxide) recorded in Daily, Weekly and 2-Weekly intervals ‘3D Diagram’ – with ample ‘visual space’ for more metric analysis
 15 10 28 Excel NOX  1 NOX
Excel: NOX (Nitron Oxides) recorded in Daily, Weekly and 2-Weekly intervals ‘3D Diagram’ – with ample ‘visual space’ for more metric analysis
 15 10 28 Excel NOX2  2 NOX2
Excel: NOX2 (Nitron Dioxides) recorded in Daily, Weekly and 2-Weekly intervals ‘3D Diagram’ – with ample ‘visual space’ for more metric analysis
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