Good graphs are extremely powerful tools for communicating quantitative information clearly and accurately. Unfortunately, many of the graphs we see today are poor graphs that confuse, mislead or deceive the reader. Since there are many more types of confusing and misleading graphs than can fit in a 40 minute session, the different in the title refers to different from the graphical mistakes I talked about at previous Strata conferences. Although the title and format will be similar to previous sessions, the content will be entirely different. After showing a number of graphical mistakes, we will end with some useful little-known graph forms that are different from the ones shown before.
Naomi B. Robbins is the author of Creating More Effective Graphs and blogged on effective graphs for Forbes. She is a consultant, keynote speaker, and seminar leader who specializes in the graphical display of data. She trains employees of corporations and organizations on the effective presentation of data with customized programs. She also reviews documents and presentations for clients, suggesting improvements or alternative presentations as appropriate. Naomi received her Ph.D. in mathematical statistics from Columbia University, M.A. from Cornell University, and A.B. from Bryn Mawr College. She had a long career at Bell Laboratories before forming NBR, her consulting practice.
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