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Case study in Psychology: analysis of human personality profiles

In this case study, we continue describing how Data Analytics techniques can be applied to analyze human personality based on the Big Five model. The aim of the study is to analyze questionnaires in order to detect personality profiles, based on the Big Five model. In a previous post, we described the first three phases of the CRISP-DM methodology: Business Understanding, Data Understanding, and Data Preparation. In that post, we described the context of the case study, the available data and its analysis in detail. Now, we discuss the next phase of the analysis according to CRISP-DM methodology, Phase IV: Modeling. The objective is to identify personality profiles according to the Big Five model by applying data analytics techniques, especially, clustering with different algorithms.

CRISP-DM Phase IV: Modeling

In this post, we continue describing the CRISP-DM (Cross Industry Standard Process for Data Mining) methodology, after our previous post Phase III: Data Understanding. In this case, we discuss the fourth phase of the data analysis project, known as Modeling.

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