1 posts
Defining visualization literacy

Michael Correll on the use of “visualization literacy” in research: If people (and, by some definitions, many or even most people) are chart illiterates, then we may feel tempted to write those groups off. We may prioritize the design of visualizations to help the creators of, say, machine learning models, from whom we can presume a sufficient level of visual and statistical literacy, rather than the populations who may be...

0 0
Visualization research for non-researchers

Reading visualization research papers can often feel like a slog. As a necessity, there’s usually a lot of jargon, references to William Cleveland and Robert McGill, and sometimes perception studies that lack a bit of rigor. So for practitioners or people generally interested in data communication, worthwhile research falls into a “read later” folder never to be seen again. Multiple Views, started by visualization researchers Jessica Hullman, Danielle Szafir, Robert...

0 0
Data visualization for analysis and understanding complex problems

Enrico Bertini, a professor at New York University, delves into the less flashy but equally important branch of visualization: analysis. Much of what Enrico describes applies to the other branches too, so it’s worth the full read: One aspect of data visualization I have been discovering over the years is that when we talk about data visualization we often think that the choice of which graphical representation to use is...

0 0