Category Archives: Guidelines

Core Design Principles for Displaying Quantitative Information

Core Design Principles for Displaying Quantitative Information from Stephen Few (data display god!). Downloadable pdf.

These form the basis of a presentation given by Juice Analytics on the six principles of visual context:

* Principle of Proximity – Things that are visually close to each other are related
* Principle of Similarity – Things that look like each other (size, color, shape) are related
* Principle of Enclosure – Things that are enclosed by a shape are related
* Principle of Closure – We see incomplete shapes as complete
* Principle of Continuity – Things that are aligned are related
* Principle of Connection – Things that are visually connected are related

Learn more about JA via their post and site at and the few pdf is definitely must-read content.

Idea: Guidelines for stakeholder-focused evaluation graphics


Perceptual Guidelines for Creating Rectangular Treemaps

Research from colleagues at Berkeley.

Design Guidelines:

  • Use Treemap Layouts that Avoid Extreme Aspect Ratios
  • Use Bar Charts at Low Density, Treemaps at High Density
  • Use Treemaps When Comparing Non-Leaf Nodes
  • Use Luminance To Encode Secondary Values In Treemaps

Also includes review of research to date.

ACCENT Principles for effective graphical display

ACCENT Principles for effective graphical display

Adapted from: D. A. Burn (1993), “Designing Effective Statistical Graphs”. In C. R. Rao, ed., Handbook of Statistics, vol. 9, Chapter 22.

Need to find the original – are these research based?

New York Times Developers on Graphic Design

The graphics team at the New York Times talk about their work in constructing stories, editing content, and making information come alive in this video podcast from the team at gestalten. Note, they do it without a style guide for graphic design.

BELIV’10 – Conference wiki – Evaluation Methods for Information Visualization

The mother-load. looks at metrics, information visualization, research, standards. Focus here is on how to judge information visualizations.