For our May event, Matthias Schonlau will present Hammock plots & friends: visualizing categorical & numerical variables. In his words:

Abstract:

I discuss the hammock plot for visualizing categorical or mixed categorical/numeric data.

Hammock plots can be viewed as a generalization of parallel coordinate plots where the lines are replaced by boxes (or plotting elements) & the width of the boxes is proportional to the number of observations they represent. Published in 2003, the hammock plot was followed by a number of similar plots the best known being the alluvial & ParSets plots. I will give a historical overview of such plots & also contrast the hammock plot with the Sankey plot, which serves a different purpose. I will give a number of examples of how such plots are useful, often drawn from the analysis of survey data.

Bio:

Matthias Schonlau, Ph.D., is a Professor in the Department of Statistics & Actuarial Science at the University of Waterloo, Ontario, Canada. Prior to his current appointment, he spent 14 years at the RAND Corporation, the National Institute of Statistical Sciences, AT&T Labs & the German Institute for Economic Research, DIW. He won the Humboldt Prize & is an elected Fellow of the American Statistical Association. His interests include visualization & survey methodology -- in particular open-ended questions -- at the interface to statistical learning. His two books & 80+ peer-reviewed papers have been cited more than 20,000 times.

Schedule

- Doors open @ 5:45, refreshments served

- Main presentation @ 6:30

- Space will be available for demos & chatting until 8.

Etiquette

We are committed to providing a safe & welcoming learning space for all guests. Attendees are expected to follow the Code of Conduct.

Space & refreshments are provided by Datadog, the monitoring & security platform (and designers/builders of data visualizations)!