Have you consider preparing a tableplot ? While I have not personally impemented this technique in any of my projects, the purpose is to display the aggregated distribution patterns of a dozen of variables in one single gure. Tableplots display both the numeric and CATEGORICAL aspects of an entire data set. As a Big Data fan - this is useful when discussing data sets that are otherwise too large to visualize -- and may expose collection data errors and outliers.
http://www.jds-online.com/file_download/379/jds-1108.pdf
JMP software community is full of visualization suggestions - to be implemented by those with their software package - AND also with great research papers for all of us to learn from. http://www.jmp.com/en_us/home.html
Multiple Correspondence Analysis (MCA) platform, which takes multiple categorical variables as input variables and seeks to identify associations between levels of those variables.
Multiple Correspondence Analysis - A New Platfo... | JMP User
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Mary Crissey
Operations Researcher
Analytic Focus, LLC
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