Data Visualization

March 11, 2011 § 2 Comments

The main goal of data visualization is to communicate information clearly and effectively through graphical means. It doesn’t mean that data visualization needs to look boring to be functional or extremely sophisticated to look beautiful. To convey ideas effectively, both aesthetic form and functionality need to go hand in hand, providing insights into a rather sparse and complex data set by communicating its key-aspects in a more intuitive way. Yet designers often fail to achieve a balance between design and function, creating gorgeous data visualizations which fail to serve their main purpose — to communicate information. – Vitaly Friedman

Fields: Design, Communication, Information and their mix: Visual Communication, Data journalism, User Interface
Raw elements: Look & Feel, Idea, Data
Disciplines: Journalism, Information Architecture, Typography
Process elements: Visual Design, Objective, Dataset
Outputs: Layout, Story, Report, Data Analysis, Dashboard, Interface
Final result: Form, Concept, Knowledge
Core competencies: Readability, Logic, Usability
Core values: Simplicity, Informativeness, Relevance




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