Visualizing Scientific Data

Visualizing Scientific Data

by Erik Erhardt, Associate Professor of Statistics, University of New Mexico

Data visualization is a vital skill for scientists of all disciplines, affording the ability to generate insights about data and communicate those insights to others. In this talk, we will discuss principles for designing effective visualizations that make complex ideas easy to understand. These principles are rooted in innate human perceptual abilities (and limitations) to parse visual features. We will also examine the importance of displaying variation and uncertainty, visualization strategies for high-dimensional data, and common pitfalls when using color. After attending the talk, audience members should feel better prepared to design clearer graphics that communicate their intended message. This talk represents a subset of principles in our 2017 invited chapter in the Handbook of Psychophysiology, 4th Edition, Cambridge University Press.

For more information, visit the Statistics Seminar Series website or contact Lisa Stieler at

Date: Thursday, February 8, 2018

Time: 4:00 pm

Place: UCI Donald Bren Hall, Rm 6011

Event is free and open to the public. Parking is $10 in the Anteater Parking Structure (Directions).

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