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

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 

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

Accurate

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

Learn Before

Related