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