Fundamentals of Data Visualization
▻http://serialmentor.com/dataviz/visualizing-data-mapping-data-onto-aesthetics.html
Ça a l’air d’être une très bonne référence pour la #Méthodologie et la #sémiologie
Aesthetics and types of data
Aesthetics describe every aspect of a given graphical element. A few examples are provided in Figure 1.1. A critical component of every graphical element is of course its position, which describes where the element is located. In standard 2d graphics, we describe positions by an x and y value, but other coordinate systems and one- or three-dimensional visualizations are possible. Next, all graphical elements have a shape, a size, and a color. Even if we are preparing a black-and-white drawing, graphical elements need to have a color to be visible, for example black if the background is white or white if the background is black. Finally, to the extent we are using lines to visualize data, these lines may have different widths or dash–dot patterns. Beyond the examples shown in Figure 1.1, there are many other aesthetics we may encounter in a data visualization. For example, if we want to display text, we may have to specify font family, font face, and font size, and if graphical objects overlap, we may have to specify whether they are partially transparent.
Aussi là : ▻https://github.com/clauswilke/dataviz