Data visualizations don’t just present information—they shape how people understand and trust it. Because of this influence, ethics and accuracy are essential responsibilities, not optional design choices. Decisions about scale, data selection, color, and context can clarify reality or subtly mislead.
The pages below address ethical principles of data visualization, focusing on best practices for ethical representation; avoiding misinformation and disinformation; make data visualizations accessible; and following data privacy guidelines.
Ethical Best Practices
Core principles and design choices that support accuracy, transparency, and trust in visualized data.
Avoiding Misinformation and Disinformation
How visual framing, scale, and data selection can mislead—and how to design visuals that resist distortion and misuse.
Guidelines for Accessbility in Data Visualization
Designing charts and graphics that are readable, interpretable, and inclusive for audiences with diverse abilities.
Responsible Data Privacy Considerations
Strategies for communicating insights while protecting personal, sensitive, and identifiable information.