We interact with charts day-in and day-out as we read the news, attend meetings, review sales numbers, forecast projections, and set targets. However, we rarely stop to think about what makes these sometimes-drool-worthy pieces of information so pervasive in media and business. This white paper takes you on a journey to discover the underlying principles behind data visualization.
What's in this white paper?
Two Goals in Data Visualization
Every visualization has a goal. Find out what are the two most common goals for visualizations, and next time you plot a chart, start with the right goal in mind.
- Eyesight and Memory Working In Parallel
Massively Parallel Processing (MPP) is a term commonly used in Big Data. Learn how our eyesight and memory uses the same mechanism to process visual information.
- Preattentive Attributes Used by Our Working Memory
No discussion of visualization would be complete without mentioning its basic building blocks - preattentive attributes. Find out what's it about a visual that catches our attention immediately.
- Forming Analytical Patterns Out of Preattentive Attributes
Our vision is inherently pattern seeking. Get a comprehensive list of the patterns we identify when analyzing a visual.
- Using the Gestalt Principles to Bring Out Patterns in Visualizations
Ever wanted to emphasize certain aspects of a visual? The Gestalt Principles can bring out your point of view with subtlety or boldness.
- An Example from Recorded Future
Finally, apply the various principles of data visualization discussed in this white paper to a real-world example from Recorded Future.
Who is this white paper for?
- Product Managers for whom data is the engine that drives their product
- UI/UX & Web Designers who never tire of going back to their roots, and maybe learning a few new tricks along the way
- Tech Managers & Developers who aren't content to just bolt on visualization to their software product as an afterthought
- CXOs who are looking to increase awareness of visualization within their organizations
Download the white paper, or send it to a colleague who needs it more than you do.