Data visualization is the study of the visual representation of data, meaning "information which has been abstracted in some schematic form, including attributes or variables for the units of information".
According to Vitaly Friedman 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".
Current public data visualization tools
OECD Factbook eXplorer
Social Watch Basic Capabilities Index
Google Public Data Explorer
World Bank eAtlas of Global Development
Weave is an open source data visualization platform under development by the [Institute for Visualization and Perception Research at the University of Massachusetts-Lowell in partnership with the Open Indicators Consortium. [Professor Georges Grinstein] is the lead developer.
For demonstrations and to download the Weave code, go to [info.oicweave.org].
- Event:Seminar on Innovative Approaches to Turning Statistics into Knowledge, Stockholm
- Event:Seminar on Innovative Approaches to turn Statistics into Knowledge, Washington DC
- Event:Seminar on Innovative Approaches to Turn Statistics into Knowledge
- ↑ Michael Friendly (2008). "Milestones in the history of thematic cartography, statistical graphics, and data visualization".
- ↑ Vitaly Friedman (2008) "Data Visualization and Infographics" in: Graphics, Monday Inspiration, January 14th, 2008.