Data Visualization Forensics: Techniques to Detect and Debunk Data Deceptions Description

Data visualizations are increasingly prominent and influential. At the same time, they have become ever easier to create with the proliferation of tools like Excel and Tableau. Identifying data-driven deceptions (both accidental and intentional) is therefore an important part of data-literacy and evidence-based reasoning. This webinar will look at several case studies, ranging from basic to tricky. Participants will learn how to detect deceptive data visualizations and acquire techniques to decode and debunk them.

As a result of this webinar, participants will:

  • Learn to detect and interpret various misleading uses of data visualization.
  • Understand how data visualizations are used or misused.
  • Understand how to make better and more authoritative visualizations.

Registration Information


  • One registration may be used in a conference room setting to share with a group of colleagues.
  • Registration closes one hour prior to the webinar.
  • Registered participants will have access to the webinar recording for 30 days following the live event.

Length/Time Commitment

1 Hour

Date(s): November 17

Time: 2:00 p.m. - 3:00 p.m. ET

Format: Live Online

Topic: Reporting

Experience Level: All

Member/Non-Member Price: $59 Member/$79 Nonmember

Presenter(s): Anthony Gray, Strategic Research Director, University of Toronto; Aurora Mendelsohn, Research Analytics Director, University of Toronto