Dr. Matthias Schonlau: Hammock plots and friends

For our May event, Matthias Schonlau will present Hammock plots and friends: visualizing categorical and 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) and 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 and ParSets plots. I will give a historical overview of such plots and 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 and 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 and the German Institute for Economic Research, DIW. He won the Humboldt Prize and is an elected Fellow of the American Statistical Association. His interests include visualization and survey methodology -- in particular open-ended questions -- at the interface to statistical learning. His two books and 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 and chatting until 8.

Etiquette

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

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