drEDA: a web application for interactive exploratory data analysis based on dimension reduction techniques

• Main Authors: LAI,WEI-YU, 賴威宇
• Other Authors: WU, HAN-MING
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/11115119698638502766

碩士 === 國立臺北大學 === 統計學系 === 105 === Exploratory data analysis (EDA) is an approach to allow users to explore the structure and pattern of data through the use of statistical graphics and visualization techniques. In this study, we employed Shiny and Plotly, the well-known web application frameworks, to develop a web-based application, namely drEDA, for interactively exploring high-dimensional data sets based on various dimension reduction (DR) methods. We implemented the GUIs for both the linear, the non-linear and the customized algorithms of DR methods. The linking and brushing between scatterplots and the reports for validation indices of DR methods were also developed. In summary, drEDA is a powerful and effective tool for data exploration comparing to the traditional static graphical methods.