Data Visualization
Make meaning visible.
1-hour interactive presentation. 3 lessons introduce how data visualization communicates research and how plot choice impacts interpretation of results. Participants learn how data structure and plot choices are related: plot choice implies an expected data structure, and data structure indicates ideal plot types. Spice up a lab meeting, teach a class, or run a skill-building session for your team.
3-hour interactive presentation. 8 lessons include and continue the meeting version to build and improve publication-quality figures. Participants learn why thoughtful design choices are necessary both for accessibility and to prevent misinterpretation when communicating research. Teach one week of class, or run an intensive workshop.
Asynchronous, online reference resource. 8 chapters with built-in activities expand upon content in the class version to support learners when identifying common pitfalls in data visualization and applying best practices for fixing design errors or building their own multipanel figures. Learn solo, assign it as coursework, or use it as a reference.
Unit Overview
What you will do
“Data Visualization” means converting data sources into visual representation. These visualizations are primary communication tools in peer-reviewed publications, conference talks and in day-to-day teaching and training. By displaying detailed information at a glance, they hold incredible power and influence over data-driven decisions. This unit helps you build better data visualizations to make it easier for an audience to understand the work you completed and the discovery found, no matter their background.
Course highlights