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Title: Data tweening: incremental visualization of data transforms

Citation Type: Journal Article

Publication Year: 2017

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Abstract: In the context of interactive query sessions, it is common to issue a succession of queries, transforming a dataset to the desired result. It is often difficult to comprehend a suc- cession of transformations, especially for complex queries. Thus, to facilitate understanding of each data transforma- tion and to provide continuous feedback, we introduce the concept of “data tweening”, i.e., interpolating between re- sultsets, presenting to the user a series of incremental visual representations of a resultset transformation. We present tweening methods that consider not just the changes in the result, but also the changes in the query. Through user stud- ies, we show that data tweening allows users to efficiently comprehend data transforms, and also enables them to gain a better understanding of the underlying query operations.

Url: http://www.vldb.org/pvldb/vol10/p661-khan.pdf

User Submitted?: No

Authors: Khan, Meraj; Xu, Larry; Nand, Arnab; Hellerstein, Joseph, M

Periodical (Full): VLDB

Issue: 6

Volume: 10

Pages: 661-672

Data Collections: IPUMS USA

Topics: Methodology and Data Collection

Countries: United States