Same Data, Different Visual Forms: Data Visualization for Scientific Discovery – January 25th, 2018

Zan Armstrong, Freelance Data Visualization Engineer
Moss Landing Marine Labs Seminar Series - January 25th, 2018

Hosted by the Phycology Lab

MLML Seminar Room, 4pm

Open to the public

Zan Armstrong is a data visualization engineer and designer. Her work includes creating custom visualizations, both static and interactive, for analysts and scientists to enable them to make new discoveries in their data. She is most interested by identifying what characteristics of the data might be most analytically/scientifically important, and finding ways to reveal those characteristics visually. Zan also enjoys finding other ways to see familiar data that reveals a different perspective or illustrating situations in which the "obvious" understanding of the data is misleading or masks some deeper truth.

 

 

 

 

Same Data, Different Visual Forms: Data Visualization for Scientific Discovery

Picking the visual form for a data visualization is a decision about what part of our data we care most about. Should we highlight outliers? Focus on the densest parts of the data? Ignore numbers under a certain threshold? Look at values or differences? The right form depends on what we believe is most important to see. Zan Armstrong will describe the thought process behind data-driven design decisions from her work and share her 5 top recommendations for making more effective visualizations for scientific discovery (including code snippets in R and/or Python).