VizDeck: Visualization Recommendation

As research becomes increasingly data-intensive, scientists are relying on visualization very early in the data analysis cycle. We find that existing tools assume a “one-at-a-time” workflow for creating visualizations and impose a steep learning curve that makes it difficult to rapidly create and review visualizations. At the same time, scientists are becoming more cognitively overloaded, spending an increasing proportion of time on data “handling” tasks rather than scientific analysis. In response, we present VizDeck, a web-based visual analytics tool for relational data that automatically recommends a set of appropriate visualizations based on the statistical properties of the data and adopts a card game metaphor to present the results to the user. We describe the design of VizDeck and discuss the results of a usability evaluation comparing VizDeck with three other popular visualization tools. We then discuss design considerations for visualization tools focused on rapid analysis based on observed sensemaking processes.

People

  • Alicia Key
  • Daniel Perry
  • Bill Howe
  • Cecilia Aragon

Papers

  1. VizDeck: Streamlining exploratory visual analytics of scientific data
    Daniel B Perry, Bill Howe, Alicia MF Key, Cecilia Aragon.
    iConference 2013
    @inproceedings{perry2013vizdeck,
      title = {VizDeck: Streamlining exploratory visual analytics of scientific data},
      author = {Perry, Daniel B and Howe, Bill and Key, Alicia MF and Aragon, Cecilia},
      year = {2013},
      booktitle = {iConference}
    }
    
  2. Vizdeck: Self-organizing dashboards for visual analytics
    Alicia Key, Bill Howe, Daniel Perry, Cecilia Aragon.
    Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data (demo) 2012
    @inproceedings{key2012vizdeck,
      title = {Vizdeck: Self-organizing dashboards for visual analytics},
      author = {Key, Alicia and Howe, Bill and Perry, Daniel and Aragon, Cecilia},
      booktitle = {Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data (demo)},
      pages = {681--684},
      year = {2012},
      organization = {ACM}
    }
    
  3. VizDeck: A Card Game Metaphor for Fast Visual Data Exploration
    Bill Howe, Alicia Key, Daniel Perry, Cecilia Aragon.
    CHI ’12 Extended Abstracts on Human Factors in Computing Systems 2012
    @inproceedings{howe2012vizdeck,
      author = {Howe, Bill and Key, Alicia and Perry, Daniel and Aragon, Cecilia},
      title = {VizDeck: A Card Game Metaphor for Fast Visual Data Exploration},
      booktitle = {CHI '12 Extended Abstracts on Human Factors in Computing Systems},
      series = {CHI EA '12},
      year = {2012},
      isbn = {978-1-4503-1016-1},
      location = {Austin, Texas, USA},
      pages = {1667--1672},
      numpages = {6},
      url = {http://doi.acm.org/10.1145/2212776.2223690},
      doi = {10.1145/2212776.2223690},
      acmid = {2223690},
      publisher = {ACM},
      address = {New York, NY, USA},
      keywords = {data understanding., interactive visualization, rapid prototyping, scientific data, visualization}
    }
    
  4. Database-as-a-service for long-tail science
    Bill Howe, Garret Cole, Emad Souroush, Paraschos Koutris, Alicia Key, Nodira Khoussainova, Leilani Battle.
    Scientific and Statistical Database Management 2011
    @inproceedings{howe2011database,
      title = {Database-as-a-service for long-tail science},
      author = {Howe, Bill and Cole, Garret and Souroush, Emad and Koutris, Paraschos and Key, Alicia and Khoussainova, Nodira and Battle, Leilani},
      booktitle = {Scientific and Statistical Database Management},
      pages = {480--489},
      year = {2011},
      organization = {Springer}
    }
    
  1. Automatic example queries for ad hoc databases
    Bill Howe, Garrett Cole, Nodira Khoussainova, Leilani Battle.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens, Greece, June 12-16, 2011 2011
    @inproceedings{howe2011example,
      author = {Howe, Bill and Cole, Garrett and Khoussainova, Nodira and Battle, Leilani},
      title = {Automatic example queries for ad hoc databases},
      booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management
                     of Data, {SIGMOD} 2011, Athens, Greece, June 12-16, 2011},
      pages = {1319--1322},
      year = {2011},
      crossref = {DBLP:conf/sigmod/2011},
      url = {http://doi.acm.org/10.1145/1989323.1989487},
      doi = {10.1145/1989323.1989487},
      timestamp = {Thu, 16 Jun 2011 17:14:38 +0200},
      biburl = {http://dblp.uni-trier.de/rec/bib/conf/sigmod/HoweCKB11},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
    
  1. Database-as-a-service for long-tail science
    Bill Howe, Garret Cole, Emad Souroush, Paraschos Koutris, Alicia Key, Nodira Khoussainova, Leilani Battle.
    Scientific and Statistical Database Management 2011
    @inproceedings{howe2011database,
      title = {Database-as-a-service for long-tail science},
      author = {Howe, Bill and Cole, Garret and Souroush, Emad and Koutris, Paraschos and Key, Alicia and Khoussainova, Nodira and Battle, Leilani},
      booktitle = {Scientific and Statistical Database Management},
      pages = {480--489},
      year = {2011},
      organization = {Springer}
    }
    

Sponsors

This work was supported by the Gordon and Betty Moore Foundation and NSF IIS Award #1064505





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