Entropy-based method for exploratory data analysis

Authors

  • Micholo Lanz B. Medrana National Institute of Physics, University of the Philippines Diliman
  • May T. Lim National Institute of Physics, University of the Philippines Diliman

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.

Issue

Article ID

SPP-2021-3C-04

Section

Complex Systems and Data Analytics

Published

2021-10-14

How to Cite

[1]
MLB Medrana and MT Lim, Entropy-based method for exploratory data analysis, Proceedings of the Samahang Pisika ng Pilipinas 39, SPP-2021-3C-04 (2021). URL: https://proceedings.spp-online.org/article/view/SPP-2021-3C-04.