Log In Sign Up

Tutorial: Effective visual communication for the quantitative scientist

by   Marc Vandemeulebroecke, et al.

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, distills more granular recommendations for everyday practical use. Finally, these laws and recommendations are illustrated in four case studies.


page 2

page 4

page 7

page 8

page 9

page 11

page 13

page 15


Information Visualization for Effective Altruism

Effective altruism is a movement whose goal it to use evidence and reaso...

Emergence of linguistic laws in human voice

Linguistic laws constitute one of the quantitative cornerstones of moder...

Perceiving Physical Equation by Observing Visual Scenarios

Inferring universal laws of the environment is an important ability of h...

Incorporating Open Data into Introductory Courses in Statistics

The 2016 Guidelines for Assessment and Instruction in Statistics Educati...

Quantitative Characterization of Components of Computer Assisted Interventions

Purpose: We propose a mathematical framework for quantitative analysis w...

Analysis of Communication Pattern with Scammers in Enron Corpus

This paper is an exploratory analysis into fraud detection taking Enron ...