Ethical Considerations

Learning Objectives

Recognize ethical concerns in data visualization and apply best practices to prevent misrepresentation. This ensures learners can critically assess visual content, maintain data integrity, and present unbiased, transparent insights in professional and academic settings.

Indicative Content

• Avoiding misleading visualizations:

  • Recognizing pitfalls such as truncated axes and distorted proportions.

  • Ensuring transparency in data representation.

• Data privacy and security:

  • Handling sensitive data responsibly in visualizations.

  • Adhering to ethical standards for data confidentiality.

• Ethical storytelling with data:

  • Presenting unbiased and accurate insights.

  • Balancing persuasion with integrity in visual communication.