TY - CHAP T1 - Representing Unevenly-Spaced Time Series Data for Visualization and Interactive Exploration T2 - Human-Computer Interaction - INTERACT 2005Human-Computer Interaction - INTERACT 2005 Y1 - 2005 A1 - Aris,Aleks A1 - Shneiderman, Ben A1 - Plaisant, Catherine A1 - Shmueli,Galit A1 - Jank,Wolfgang ED - Costabile,Maria ED - PaternĂ²,Fabio AB - Visualizing time series is useful to support discovery of relations and patterns in financial, genomic, medical and other applications. Often, measurements are equally spaced over time. We discuss the challenges of unevenly-spaced time series and present fourrepresentationmethods: sampled events, aggregated sampled events, event index and interleaved event index. We developed these methods while studying eBay auction data with TimeSearcher. We describe the advantages, disadvantages, choices for algorithms and parameters, and compare the different methods for different tasks. Interaction issues such as screen resolution, response time for dynamic queries, and learnability are governed by these decisions. JA - Human-Computer Interaction - INTERACT 2005Human-Computer Interaction - INTERACT 2005 T3 - Lecture Notes in Computer Science PB - Springer Berlin / Heidelberg VL - 3585 SN - 978-3-540-28943-2 UR - http://dx.doi.org/10.1007/11555261_66 ER -