Data Visualization Forensics: Techniques to Detect and Debunk Data Deceptions

November 17-17, 2021
Data Visualization Forensics: Techniques to Detect and Debunk Data Deceptions's Image

Webinar: November 17, 2–3 p.m. ET

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.   

  • One registration may be used in a conference room setting to share with a group of colleagues. 
  • Registration closes 60 minutes prior to the webinar. 
  • Attendees will have access to the webinar recording for 30 days following the live event. 
  • $59/$79 (members/nonmembers)
Event Type(s): Webinar
Event Topic: Reporting
Experience Level: All
Length of Event: 1 hour
Date(s): November 17-17, 2021
Cutoff Date: Nov 17, 2021
Instructor/Presenter: Anthony Gray, Strategic Research Director, University of Toronto; Aurora Mendelsohn, Research Analytics Director, University of Toronto