Prioritize data accuracy, clarity, and integrity, presenting information in a way that doesn’t distort it.

University of Michigan - Ann Arbor

- Data visualization is a form of communication that portrays dense and complex information in graphical form. 
- The resulting visuals are designed to make it easy to compare data and use it to tell a story 
-  Both of which can help users in decision making

Principles in Data Visualization 

Accurate

Help users navigate data with context and affordances that emphasize exploration and comparison.

Helpful

Adapt visualizations for different device sizes, while anticipating user needs on data depth, complexity, and modality.

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