Subscribe to DSC Newsletter

Data Viz: Re-examining what we thought we knew

Instead of well-run experiments and real evidence, many supposed rules are based on opinion, aesthetic judgments, and incomplete or oversimplified studies. In this Data Science Central webinar, I will walk you through a number of things that we thought we knew, but that on closer inspection turned out to be wrong – it turned out that we didn’t know them, after all. Knowing what we know, what we don’t know, and what we merely assume, is important so we don’t rely on supposed rules that are not actually based on evidence. To figure out which is which, we have to keep asking a simple question: how do we know that?

Speaker: Robert Kosara, Visual Analytics Researcher -- Tableau

Hosted by: Bill Vorhies, Editorial Director -- Data Science Central

Views: 219

Comment

You need to be a member of Data Science Central to add comments!

Join Data Science Central

Follow Us

Videos

  • Add Videos
  • View All

Resources

© 2017   Data Science Central   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service