Statistical Graphics Considerations

Instructor

Dawn Koffman is a Statistical Programmer at the Office of Population Research at Princeton University. She earned an MS in Computer Science from University of Wisconsin-Madison, and an MPH in Epidemiology and Biostatistics from UMDNJ and Rutgers University.

Time/Place
5/11/2017 from 9:30 AM to 12:00 PM ~ 290 Wallace Hall
Description

This workshop provides a discussion of issues to consider when designing statistical graphs. Topics include:

  1. tables vs graphs
  2. audience and setting
  3. representing data accurately
  4. highlighting comparisons of interest
  5. simplicity and clarity
  6. color

Several sets of graphs are examined that attempt to "tell the same story" and discussion will center on why one display may be preferable to another. While the workshop goes over the pros and cons of using bar graphs, dot plots, line graphs, box plots, violin plots and several other graph types, the discussion is implementation tool independent, and is intended to be useful for those building graphs using R Base Graphics, ggplot2, and Stata Graphics, as well as many other tools.

Register by sending an email from your princeton.edu email address to opr-workshops@princeton.edu with "graphics" as the subject.

Audience
Researchers who are constructing statistical graphs regardless of the implementation tool being used.
Format

Example-based lecture/discussion. Focus is on concepts rather than implementation tools, and therefore this is not a hands-on workshop.

Requirements

None

Downloads
None