A podcast on data and how it affects our lives — with Enrico Bertini and Moritz Stefaner
043 | IEEE VIS'14
It took us a while, but — here we go! A three part episode from IEEE VIS 2014.
Thanks again to Robert Kosara for coming on our show again to talk shop, and look back on a week full of really interesting scientific findings about data visualization. The list below should make great reading for the holidays 
A big thanks also to our sponsor Tableau Software who continue to support us, which we are very grateful for.
Here are some of the links we discussed:
“Multivariate Network Exploration and Presentation: From Detail to Overview via Selections and Aggregations”
Domino: Extracting, Comparing, and Manipulating Subsets across Multiple Tabular Datasets
Revisiting Bertin matrices: New Interactions for Crafting Tabular Visualizations
iVisDesigner: Expressive Interactive Design of Information Visualizations
The Effects of Interactive Latency on Exploratory Visual Analysis
Error Bars Considered Harmful: Exploring Alternate Encodings for Mean and Error
Four Experiments on the Perception of Bar Charts
An Algebraic Process for Visualization Design
The Not-so-Staggering Effect of Staggered Animated Transitions on Visual Tracking
Perceptual Kernels
Data and source code:
https://GitHub.com/uwdata/perceptual-kernels
https://GitHub.com/uwdata/visual-embedding
Ranking Visualization of Correlation Using Weber’s Law
A Principled Way of Assessing Visualization Literacy
Let us know your thoughts! Which study did you find most interesting?