I’m doing some form of data visualization learning for 180 days because I need to #JFDI.

See post explaining how and why I’m doing this.

**Reading and Learning Data Visualization Theoretically/Critically:**

Chapter One Graphical Excellence

- Pair small multiples with other information, e.g. a map to give more context – example of a map of socal and 3d view of pollutants p 42
- “Indeed, in modern scientific literature, about 40 percent of published graphics have a relational form, with two or more variables (none of which are latitude, longitude, or time. This is no accident, since the relational graphic- in its barest form, the scatterplot and its variants- is the greats of all graphical designs. It links at least two variables, encouraging and even imploring the viewer to assess the possible causal relationship between the plotted variables” p 47
- “Graphical excellence is that which gives to the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space. Graphical excellence is always multivariate. And graphic excellence requires telling the truth about the data” p 51 (example of Minard’s graphic of the fate of Napoleon’s Army)

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