A Novel Explorative Visualization Tool for Financial Time Series Data Analysis
Matthias Schaefer, Roman Kahl, Leishi Zhang, Tobias Schreck, Daniel A. Keim · 2011
Analyzing high dimensional time series data can be challenging, especially when the data consists of a large number of long time series. The task involves supporting interactive analysis of the data in both global and local fashion. In this paper we introduce a novel visual data analysis tool, which facilitates such type of tasks. The tool advances existing visualization techniques by integrating a pixel based visualization technique, which can display a large volume of data without overlaps, and line graph visualization, which provides an intuitive understanding of patterns and trends in the time series data.