Can You Trust It? 4 Ways Data Visualizations Mislead

Hosted by Enrico Bertini

120 students

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Rhetorical Data Visualization for Data Professionals
Enrico Bertini
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What you'll learn

Data Gaps

Spot issues that stem from how the data has been generated.

Misleading Calculations

Learn how calculations and statistics can be misinterpreted.

Dubious Visuals

Learn how visual representations can distort the data.

Slanted Titles

Learn how titles can bias reading through slanted framing.

Why this topic matters

When reading or designing a visualization, it is essential to possess the skills to identify data interpretation problems. As a data analyst, you want to spot issues to avoid fooling yourself. As a designer, you want to spot issues to avoid fooling others. Join me to learn about a fundamental framework to think about misleading visualization systematically!

You'll learn from

Enrico Bertini

University professor, researcher, and educator with 15+ years of experience.

Dr. Enrico Bertini has been teaching and conducting research in Data Visualization for over 15 years. He holds a PhD in Computer Engineering from the University of Rome, La Sapienza. He has been a faculty member at New York University for almost 10 years and, since 2022, has been a faculty member at Northeastern University, holding an appointment in the intersection of Computer Science and Art+Design. Dr. Bertini is the founder and co-host of Data Stories, a popular data podcast that was active from 2012 to 2022. He also writes a data newsletter called FILWD with a community of 2500+ subscribers.

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