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I have a data set which contains a hundred or so user tags - that is, binary variables marking whether a user has a certain property or has shown a certain behaviour. (data from a web site.)

user, high_usage, tablet, likes_cats, night_owl
A,    1,          0,      1,          0
B,    0,          1,      0,          1
C,    1,          0,      0,          0

How do I visualize this data? Pairwise or all together.

I'd like to create a visualization that allows exploration of this data to find groups of behavior.. Any ideas?

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Given that what you have looks like an adjacency matrix how about using something like Gephi to visualise your data as a network. You could think of the tags as nodes and users as something which connets one or more nodes.

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  • $\begingroup$ Another possibility wuold be multidimensionaø scaling, search this site $\endgroup$
    – kjetil b halvorsen ♦
    Commented Sep 8, 2017 at 22:55
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Every tag can be considered as a connection of two nodes, namely an object and its tag. So the task is similar to network visualization. For purposes similar to yours I use Cytoscape. I think it is a bilogy-drive software but the principal is the same. The interface and style configurations a very neat and allow to explore tagged data.

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