TDWI Upside - Where Data Means Business

Data Stories: Avoiding Visualization Failures

Data visualizations are powerful, but they can be misinterpreted or misleading -- accidentally or intentionally.


Misreading a Confusing Chart

automation misread

‎This article explains why a confusing chart design for an OECD study on job automation caused media coverage to misinterpret and misrepresent the results of the study. The author also provides a suggested alternative chart.


Common Mistakes

KD bad Viz

Confusing or poorly designed data visualizations often stem from a few common errors. Here are a handful of examples of what not to do.


Alternatives to Bad Visualization


This Quartz piece is an older article, but it does a good job collecting examples of misleading graphs and demonstrating how each set of data could be more accurately and clearly represented.


About the Author

Lindsay Stares is a production editor at TDWI. You can contact her at

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