Data Visualisation

In 1967, Bertin wrote a seminal work that started the study of what is now known as 'visual variables': https://en.wikipedia.org/wiki/Visual_variable 

Bertin proposed 7 principles that can be used to visualise data:

1. Position

2. Size

3. Shape

4. Orientation

5. Value (transparency)

6. Hue (colour)

7. Texture

This is explained with examples in the following page: https://www.axismaps.com/guide/visual-variables 

For example, the following graph uses position (along the x and y axii) to encode population size and uses colour/transparency to encode time:

The following set of slides goes into this in more detail, with examples provided:

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