Literature DB >> 17968057

Show me: automatic presentation for visual analysis.

Jock Mackinlay1, Pat Hanrahan, Chris Stolte.   

Abstract

This paper describes Show Me, an integrated set of user interface commands and defaults that incorporate automatic presentation into a commercial visual analysis system called Tableau. A key aspect of Tableau is VizQL, a language for specifying views, which is used by Show Me to extend automatic presentation to the generation of tables of views (commonly called small multiple displays). A key research issue for the commercial application of automatic presentation is the user experience, which must support the flow of visual analysis. User experience has not been the focus of previous research on automatic presentation. The Show Me user experience includes the automatic selection of mark types, a command to add a single field to a view, and a pair of commands to build views for multiple fields. Although the use of these defaults and commands is optional, user interface logs indicate that Show Me is used by commercial users.

Mesh:

Year:  2007        PMID: 17968057     DOI: 10.1109/TVCG.2007.70594

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  7 in total

1.  Visual analytics of surveillance data on foodborne vibriosis, United States, 1973-2010.

Authors:  Jennifer N Sims; Raphael D Isokpehi; Gabrielle A Cooper; Michael P Bass; Shyretha D Brown; Alison L St John; Paul A Gulig; Hari H P Cohly
Journal:  Environ Health Insights       Date:  2011-11-10

2.  Interactive Visualization of Healthcare Data Using Tableau.

Authors:  Inseok Ko; Hyejung Chang
Journal:  Healthc Inform Res       Date:  2017-10-31

3.  Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations.

Authors:  Jason Dykes; Alfie Abdul-Rahman; Daniel Archambault; Benjamin Bach; Rita Borgo; Min Chen; Jessica Enright; Hui Fang; Elif E Firat; Euan Freeman; Tuna Gönen; Claire Harris; Radu Jianu; Nigel W John; Saiful Khan; Andrew Lahiff; Robert S Laramee; Louise Matthews; Sibylle Mohr; Phong H Nguyen; Alma A M Rahat; Richard Reeve; Panagiotis D Ritsos; Jonathan C Roberts; Aidan Slingsby; Ben Swallow; Thomas Torsney-Weir; Cagatay Turkay; Robert Turner; Franck P Vidal; Qiru Wang; Jo Wood; Kai Xu
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2022-08-15       Impact factor: 4.019

4.  Visual Data Analysis with Task-Based Recommendations.

Authors:  Leixian Shen; Enya Shen; Zhiwei Tai; Yihao Xu; Jiaxiang Dong; Jianmin Wang
Journal:  Data Sci Eng       Date:  2022-09-13

5.  Inferences on the biochemical and environmental regulation of universal stress proteins from Schistosomiasis parasites.

Authors:  Andreas N Mbah; Ousman Mahmud; Omotayo R Awofolu; Raphael D Isokpehi
Journal:  Adv Appl Bioinform Chem       Date:  2013-05-10

6.  SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics.

Authors:  Manasi Vartak; Sajjadur Rahman; Samuel Madden; Aditya Parameswaran; Neoklis Polyzotis
Journal:  Proceedings VLDB Endowment       Date:  2015-09

7.  A systematic method for surveying data visualizations and a resulting genomic epidemiology visualization typology: GEViT.

Authors:  Anamaria Crisan; Jennifer L Gardy; Tamara Munzner
Journal:  Bioinformatics       Date:  2019-05-15       Impact factor: 6.937

  7 in total

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