  Effective visual communication is a core competency for pharmacometricians,
statisticians, and more generally any quantitative scientist. It is essential
in every step of a quantitative workflow, from scoping to execution and
communicating results and conclusions. With this competency, we can better
understand data and influence decisions towards appropriate actions. Without
it, we can fool ourselves and others and pave the way to wrong conclusions and
actions. The goal of this tutorial is to convey this competency. We posit three
laws of effective visual communication for the quantitative scientist: have a
clear purpose, show the data clearly, and make the message obvious. A concise
"Cheat Sheet", available on https://graphicsprinciples.github.io, distills more
granular recommendations for everyday practical use. Finally, these laws and
recommendations are illustrated in four case studies.

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