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Research directions in data wrangling: Visualizations and transformations for usable and credible data.

Kandel, Sean, Heer, Jeffrey, Plaisant, Catherine, Kennedy, Jessie, Ham, Frank van, Riche, Nathalie Henry, Weaver, Chris, Lee, Bongshin, Brodbeck, Dominique and Buono, Paolo (2011) Research directions in data wrangling: Visualizations and transformations for usable and credible data. Information Visualization, Octobe (10). pp. 271-288. ISSN 1473-8716

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Abstract/Description

In spite of advances in technologies for working with data, analysts still spend an inordinate amount of time diagnosing data quality issues and manipulating data into a usable form. This process of ‘data wrangling’ often constitutes the most tedious and time-consuming aspect of analysis. Though data cleaning and integration arelongstanding issues in the database community, relatively little research has explored how interactive visualization can advance the state of the art. In this article, we review the challenges and opportunities associated with addressing data quality issues. We argue that analysts might more effectively wrangle data through new interactive systems that integrate data verification, transformation, and visualization. We identify a number of outstanding research questions, including how appropriate visual encodings can facilitate apprehension of missing data, discrepant values, and uncertainty; how interactive visualizations might facilitate data transform specification; and how recorded provenance and social interaction might enable wider reuse, verification, and modification of data transformations.

Item Type: Article
Print ISSN: 1473-8716
Electronic ISSN: 1473-8724
Uncontrolled Keywords: Data; analysis; databases; interactive visualisation; visual encoding; data transformations;
University Divisions/Research Centres: Edinburgh Napier University, Institute for Informatics and Digital Innovation
Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 006 Special Computer Methods > 006.3 Artificial intelligence
Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Item ID: 4767
Depositing User: Computing Research
Date Deposited: 12 Dec 2011 14:51
Last Modified: 30 Nov 2012 14:44
URI: http://researchrepository.napier.ac.uk/id/eprint/4767

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