중국 전통 패치워크의 디자인적 요소를 활용한 복식 디자인 개발

Abstract

Background/Objectives: This study uses data mining methods for practical research on product design application to identify the importance of the online market in China and design products that ordinary consumers would prefer and purchase. Methods: Data were collected through literature review and field investigation for theoretical research; photographic data were collected in parallel through online museums and onsite photography. For practical research, Python Program was used, and data mining analysis was conducted through term frequency analysis, word cloud analysis, and social network analysis, using consumer evaluation data of patchwork products currently sold in the Chinese online market. Results: First, two factors were identified in the birth of traditional Chinese patchwork: economic factors, which include a shortage of supplies, and social background factors, which denote the spread of the spirit of thrift. Second, fashion products are the most representative online shopping items in China. Comprehensive data analysis performed via data mining through platforms such as Baidu Index and Sina Weibo confirmed that patchwork products include decorative items, tops, and aprons. The keywords for the patchwork product style were "boxy, casual, and modern brands," and the target consumers were young people in their 20s and 30s. Third, according to the results of data mining, doubles were selected as sweatshirts and shirts popular with young people. As for the design of tops was applied with design elements analyzed through research on traditional Chinese patchwork. Conclusion/Implications: The design developed using traditional patchwork was created with a total of five items, three sweatshirt designs and two shirt designs, and the possibility of commercialization of traditional patchwork in the modern fashion market was confirmed through 3D image work after development.