We often think of “Data Visualization” primarily as a tool for communication. Yet, we create graphs and tables for ourselves and our collaborators throughout our analysis process. In this talk, Zan will introduce big picture principles, accompanied by specific, practical techniques, to more intentionally and effectively create data viz for discovery. Beware: applying these techniques might change the course of your research and lead to new discoveries.

Bio: As an independent data viz specialist, Zan creates charts and graphs which change how people look at their data (literally) — leading to data driven questions, deeper understanding, better decision making, and new scientific discoveries. Zan’s focus is on making charts more useful, giving people the best chance to notice whatever is most important about their data… even if it’s something unexpected.
Zan’s charts have been used by Scientific American, National Geographic, SF Moma, the Wastewater SCAN project tracking pathogens in sewage, and scientists at Stanford, Yale, Berkeley, Novartis, CalTech, and Google Research.