데이터 시각화의 사용자 선호도 분석: 분포 시각화 방식을 중심으로 = Analysis of User Preference of Data Visualization: Focusing on Distribution Visualization Methods

다국어 초록 (Multilingual Abstract)

Data visualization helps people quickly recognize and remember data insights through visual elements, therefore, the scope of data visualization is diversifying. As interest in data visualization increases, it is exposed to the general public through not only news articles, but also the medical field as personal data are represented through visualizations. To provide the proper data insights, we need to provide effective visualizations for your users. In this research, an experiment was conducted on the user's data visualization preference to investigate the user's perception of data visualization. This experiment was conducted by measuring the relative and objective preference of data visualization using 5 visualizations and 4 tasks by limiting the visualization of the distribution visualization method. The results of user's visualization preference obtained through the experiment were analyzed separately for each visualization and each task. The results of the analysis were reviewed, and accordingly, the appropriate direction of data visualization was suggested and discussed.