Paper Info
Title
Agile Visual Analytics In Data Science Systems
Abstract
The practice of data science is ad hoc and agile, where needs and requirements evolve continuously and are resolved through collaboration among stakeholders. To support such practice visual analytics systems need to evolve as the needs and requirements in terms of data, users, tasks, medium, visualization, and interaction capabilities change continuously. In this paper we present a case study and illustrate several dimensions of the requirements in visual analytics. We put forward a vision of a dynamic agile visual analytics process and system model in support of data science, in which the user and system can cooperate to facilitate discovery while requirements change on demand. We argue that such a system needs an underlying language and algebra that defines not only operands and operators for performing visual analytics but also specifies guidelines that take them into account and produce useful visual analytics transformations leading to a specific insight. Our intent is not to present a fully developed system but rather a vision, illustrated through a use case. While the algebra presented here is sufficiently defined to illustrate our viewpoints, further refinement and completion is necessary to facilitate application in a visual analytics system.
Year
DOI
Venue
2016
10.1109/HPCC-SmartCity-DSS.2016.59
PROCEEDINGS OF 2016 IEEE 18TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS; IEEE 14TH INTERNATIONAL CONFERENCE ON SMART CITY; IEEE 2ND INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (HPCC/SMARTCITY/DSS)
Keywords
Field
DocType
Visual analytics, requirements analysis, agile process, relational algebra, design guidelines, data analytics
Data science,Data visualization,Business analytics,Software analytics,Computer science,Visual analytics,Semantic analytics,Interactive visual analysis,Cultural analytics,Analytics,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Eser Kandogan169864.49
Ulrich Engelke25610.09