information analyst

Data visualizations and infographics can make complex datasets easier to understand and comprehend. By creating a graphical represenatation of data and statistics, complicated concepts and information can make more sense in less time.

Many visualizations focus on representing a specific set of data or statistical information. Others focus on less-concrete topics, providing a visual representation of abstract concepts. Generally speaking, the first type appear more like graphs or charts and the latter are often more creative and imaginative.
But visualizations and infographics can be used poorly, too. Putting in too much information (or not enough), using improper formats for the information provided, and other failures are common. Visit the article link for more than 25 useful resources for infographics and data visualization. Most are galleries of effective graphics though some also provide how-to information for information designers...

Via Lauren Moss

Developer Santiago Ortiz explores visualization references through Delicious tags and puts them in a discovery context. There are two views. The first is a network with tags and resources as nodes. At first it looks like a giant hairball, but mouseover and you get a fisheye effect to zoom in on nodes, which makes them more readable. Mouse over a tag, and the labels for related resources get bigger, and likewise, mouse over a resource, and the related tags get bigger.

The second view lets you compare resources. In the network, select two ore more resources, and then click on the bottom button to compare the selected.

Via Lauren Moss