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.

Helpful

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

Scalable

- 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

Arizona State University

University of Michigan - Ann Arbor

Data visualization depicts information in graphical form:
- Principles
- Types
- Selecting Charts
- Style

Data Visualization

Principles in Data Visualization 

- Data visualization can be expressed in different forms.
- Charts are a common way of expressing data, as they depict different data varieties and allow data comparison.
- The type of chart you use depends primarily on two things:
- The data you want to communicate
- What you want to convey about that data
- These guidelines provide descriptions of various different types of charts and their use cases

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