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Data Visualization: Equity & Inclusion in Data Visualization

Data visualization tools, services, and resources.

Starting Out

When creating and consuming data visualizations, it's important to take into consideration the structure, design, and impact of your work.

Some questions to ask yourself:

  • Who am I representing/seeing in this data visualization?
  • How can I verify the integrity of the data?
  • How does the structure of the data limit the representation of those in the data?
  • Does this data visualization distort, over/under represent, mislead, etc. the data?

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