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http://dx.doi.org/10.12925/jkocs.2022.39.6.853

Study on the Policy of Supporting University Students in the Beauty Field through Social Big Data Analysis: Based on exploratory data analytics  

Mi-Yun Yoon (Department of Beauty Care, Pai Chai University )
Nam-hoon Park (Grauate School of Thchnology Management, Hanyang University)
Publication Information
Journal of the Korean Applied Science and Technology / v.39, no.6, 2022 , pp. 853-863 More about this Journal
Abstract
In order to revitalize start-ups in the beauty field, this study attempted to derive characteristic patterns of changes in demand and differences in emotions and meaning for 'beauty start-ups' by dividing the period by year from 2019 to 2021 based on exploratory data analysis (EDA). Most of the search terms related to the keyword "beauty start-up" showed more interest in institutions or certificates that can learn beauty skills than professional start-up education, which still does not recognize the importance of start-up education, and as an alternative, it is necessary to develop customized start-up education programs for each major. We establish hypotheses through exploratory data analysis and verify hypotheses by combining traditional corroborative data analysis (CDA). There has never been an exploratory data analysis method for beauty startups, and rather than mentioning the need for formal start-up education, analyzing changes in interest in beauty startups and the requirements of prospective start-ups with exploratory data will help develop customized start-up programs.
Keywords
Beauty Start-up; Big data; Exploratory data analysis; beauty field; Beauty;
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Times Cited By KSCI : 1  (Citation Analysis)
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