Responsible Data Visualisation

A list of questions and considerations when designing your data visualizations to help you recognize and avoid bias and misrepresentation.

Where this lives:

Where this came from: This resource was created by practitioners at the Responsible Data Resource Sprint in Budapest.

Status: This resource could benefit from your input! If you would like to contribute your ideas, share feedback or pilot this resource, please get in touch with us via email post[at] or tweet us @engnroom.

This can help you with: Sharing Data
Issue areas: Data quality