Exploring, Comparing and Coordinating Multiple Datasets in an Information Visualization Tool

Savors is a visualization framework that supports the ingestion of data streams created by arbitrary command pipelines. Multiple data streams can be shown synchronized by time in the same or different views, which can be arranged in any layout. These capabilities combined with a powerful parallelization mechanism and interaction models already familiar to administrators allows Savors to display complex visualizations of data streamed from many different systems with minimal effort. This paper presents the design and implementation of Savors and provides example use cases that illustrate many of the supported visualization types.

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Exploring, Comparing and Coordinating Multiple Datasets in an Information Visualization Tool

Cited by 2 publications

References 7 publications

Visual Data Analysis for Hydrological Cycle Classification Based on Physico-Chemical Parameters

Visual Data Analysis for Hydrological Cycle Classification Based on Physico-Chemical Parameters

Time-synchronized visualization of arbitrary data streams

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