Time Series Visualisation
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Using R graphics, two different techniques are used to visualise daily data over a three year period.
Tag Archives: data visualisation
Principle Components
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PCA is a linear algebra technique that summarises data sets. The results can be used as inputs to predictive models.
3D Histogram
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55,000 temperature observations are aggregated into 13,000 bins. These are displayed in 3 dimensions using Autodesk Maya.
Spatial Hexagons
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Hexagons allow bivariate data to be binned as a regular tessellation. This has advantages compared to tessellating with squares.