- #1
Wizard
- 11
- 3
Hello all, I was just thinking how much I would love a book, or even better a portfolio, on different types of data visualisations. I'm sure there are a few such books out there, but I'm looking for something for technically minded people, which organises its examples by the type of data being plotted. Examples of data types:
- Samples taken of a single 'random' variable (e.g. collection of height samples of a population, typical plot would be a frequency plot)
- Samples taken of 'random' vectors of length 2 (e.g. collection of height/weight, exemplar plot might be a scatter plot, with translucent plot markers so you can see the density of overlapping marks)
- 1-parameter curve in 2-dimensional space (e.g. line plot)
- 2-parameter curve in 3-dimensional space (e.g. 3D-rendered surface plot, but not good for a probability distribution with one continuous parameter)
- 2-parameter curve in 4-dimensional space (e.g. 3D-rendered, colour-graded surface plot)
- Discrete and continuous data types
- et cetera