2017 Volume 2017 Issue AM-15 Pages 09-
The goal of our study is to support a user's analysis of time-series data in an exploratory manner. Such exploratory analysis requires repeated access to various types of information related to the user's interests such as texts and numerical data. To support such the user's analysis, we have proposed a system that visualizes temporal changes in time-series data and presents the causes of those changes with the data. In this paper, we improve the system by (1) strengthening the linkage between graphs and articles (2) adding graph interactions. In addition, we conduct user experiments and examine the point of arrival of the system and the direction of future expansion.