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learning, conceptualizing + communicating data with infographics, visualizations, etc...
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Network of data visualization references

Network of data visualization references | visual data | Scoop.it
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.

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Visualizing Databases | Digital Humanities Specialist

Visualizing Databases | Digital Humanities Specialist | visual data | Scoop.it

Summaries and statistics drawn from within the structure of the database are not enough. If there is to be any real grappling with the database as an culturally-embedded construct, then it has to be done in a manner that reveals the data, the model and the population simultaneously.

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luiy's curator insight, March 25, 2013 9:11 AM

I’ve become quite the fan of Gephi, lately, and received a good-natured challenge by one of my colleagues, which went something like, “Why is a everything a network with you, now?”  Obviously, in the case of social network-like phenomena, such as mapping collaboration in the Digital Humanities with the DH@Stanford graph–network theory and network language (whether visual or theoretical) make sense.  Network analytical tools like Gephi are also only a short step away from spatial analytical tools, like ArcGIS, many of which are used to ask questions about geographic networks and not about the kind of continuous data found in topography.

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Data Visualization Network of Resources

Data Visualization Network of Resources | visual data | Scoop.it

A network of links to data visualization resources (blogs, companies, people, tools, frameworks, books…). The network is based upon the words people use to tag these links using Delicious social bookmarking service.

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