Statistical communication includes graphing data and fitted models, programming, writing for specialized and general audiences, lecturing, working with students, and combining words and pictures in different ways.
The common theme of all these interactions is that we need to consider our statistical tools in the context of our goals.
Communication is not just about conveying prepared ideas to others: often our most important audience is ourselves, and the same principles that suggest good ways of communication with others also apply to the methods we use to learn from data.
See also the description of my statistical communication and graphics course, where we try to implement the above principles.
[I’ll be regularly updating this post, which I sketched out (with the help of the students in my statistical communication and graphics course this semester) and put here so we can link to it from the official course description.]