Entropy-based method for exploratory data analysis
Abstract
A method for exploratory data analysis (EDA) in surveys is presented in this work. Kullback-Liebler divergences are calculated pairwise between known categories of survey responses and are used to construct a weighted network, on which a community detection algorithm is applied to identify and cluster related categories. This method was applied to the 2015 ISCO Work Orientations Survey and a preliminary interpetation of selected results was presented.
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