Then we’ll discuss design principles for good tables and graphs and review examples that meet these principles. Finally, we’ll show that the choice between tables and graphs is not always dichotomous: tables can be incorporated into graphs and vice versa.
Participants will learn how to bring more thoughtfulness to the process of deciding when to use tables and when to use graphs in their work. They will also learn about design principles and examples they can adopt to create better tables and graphs.
Note: This training is an exclusive benefit to members of the Statistically Speaking Membership Program and part of the Stat’s Amore Trainings Series. Each Stat’s Amore Training is approximately 90 minutes long.
About the Instructor
Dr. Isabella Ghement is the principal of Ghement Statistical Consulting Company Ltd., an independent statistical consulting and training firm in Richmond, British Columbia, Canada.
Since 2006, Dr. Ghement has provided statistical consulting and training to clients from government, academia and industry. Her research expertise covers areas such as partially linear regression modeling, robust regression modeling and mixed treatment comparisons.
Dr. Ghement has presented a number of R short courses at conferences and an advanced regression course using R to graduate students in the Sauder School of Business at the University of British Columbia.
Dr. Ghement is a member of the Steering Committee for the American Statistical Association’s Conference on Applied Statistical Practice 2017, where she chairs the Short Courses and Tutorials Sub-Committee.
Dr. Ghement obtained her Ph.D. in Statistics from the University of British Columbia in 2005 with a thesis on the application of partially linear models with correlated errors to the study of the health effects of air pollution in Mexico City.
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