탐색적 데이터 분석(EDA) 기반 코로나19 유행이전/확산기/안정기 캠핑 서비스 동향 분석

초록

The purpose of this study was to explore the changing camping trend in the pre-, during, and post-period of the COVID-19 era. We employ Exploratory Data Analysis(EDA) consisting of the following four steps: Step 1: Data collection. Data was collected from Korean representative portal sites (Naver, Daum, and Google) with respect to the keyword 'Camping' by employing Textom Step 2, Pre-processing. Morpheme analysis was performed to refine the collected data, and then nounization of verbs and adjectives are performed. In this process, unnecessary words are integrated or deleted as representative words. Step 3, Data visualization. The TF-IDF, Sentiment Analysis, and Network Analysis were employed to detect cognitive and emotional changes in camping experience. Step 4. Insights Exploration. we extracted and grouped meaningful insights from data and visualization modeling. Our key findings are summarised as follows: 1) Change from sensitivity to pragmatism, 2) Increase in camping beginners, 3) Spread from Chabak to Backpacking, 4) Prioritize nature-friendly places, 5) Use proactive information searching behavior. As a result of the study, it was possible to confirm the steady growth and preference of the camping industry, and it was possible to grasp the behavioral patterns and changes in camping trends of camping users.

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