Data Storytelling and the Grammar of Analysis


Analyzing complex, multi-source, multi-format and multi-modal data from astrophysical simulations, observations and theory requires methods for transforming raw numbers into manipulable quantities, and the application of high-level semantic models on top of those quantities. In this talk I will present methods for defining and applying a grammar of analysis to volumetric astrophysical data, and describe the implications this has for visualization, analysis and inference in astrophysics.

Oct 14, 2021
Matthew Turk
Matthew Turk
Assistant Professor of Information Sciences

I am interested in the intersection of data analysis, visualization and open source in the sciences.