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Communicating Results Visually: Lessons from the Global Burden of Disease

About this Module

Learn about how to take complicated data and put it into simple yet effective data visualization tools. This module also covers the important qualities of data visualization as well as pitfalls to avoid.

Creating visual representations of data is a skill that can greatly improve your ability to communicate your science and research study findings. In this module, you will learn some of the basic principles in data visualization in order to express the most compelling aspects of your data. You will also be exposed to some of the current software used to take large data sets and turn them into graphics that can be more easily interpreted.

Learning Objectives

Upon completion of this module, you will be able to:

  • Sketch (with pencil) common and novel displays of quantitative information
  • Describe how to make a principled choice between alternative forms of visual display
  • Discuss constructive criticism on data visualizations (their own and others)
  • Describe ways to continue to develop their experience and ability with data visualization

Instructor

Abraham Flaxman, PhD
Assistant Professor, Global Health
Institute for Health Metrics and Evaluation (IHME)
University of Washington