I see you cite Wilke’s “ugly, bad, or wrong” from Fundamentals of Data Visualization . That text also contains an excellent section on how to approach plotting differently for exploration versus presentation (https://clauswilke.com/dataviz/choosing-visualization-software.html#data-exploration-versus-data-presentation) . This was not a concept I had encountered before, but I found it very clarifying to think about how these cases differ. I just wanted to share for potential inclusion in this chapter
The section on mapping might benefit from a brief explanation of the different types of geospatial data (e.g. we are often overlaying a shapefile of polygons with a set of lat/lon coordinates of observations) since the structure is slightly different than normal tabular data
I appreciate the remark that tables can sometimes be better than plots. Like concise writing, making a very compelling table is harder but often preferable to the “crutch” of plotting everything
Miscellaneous
This is a terribly trivial remark, but I always prefer “Plots” to “Graphs” since some people interpret “Graph” to mean something very different / specific (networks)
Chapter 6
Theory
Miscellaneous
This is a terribly trivial remark, but I always prefer “Plots” to “Graphs” since some people interpret “Graph” to mean something very different / specific (networks)