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Sketching with Data

Abstract

The growing deployment of networked infrastructures has dramatically increased the amount of logs byproducts of people digital activities (i.e., digital footprints). That intangible material takes the form of cellular network activity, aggregated credit card transactions, real-time traffic information, user-generated content, or social network feeds. The capacity to transform this type of big data into insights, products, or services has called for new practices at the crossroad of design and “data science.” This paper will discuss transversal incline of the innovation with digital footprints and will describe how sketching with data offers useful interfaces to the many stakeholders of innovative projects.

Keywords

  • Visitor Behavior
  • Digital Footprint
  • User Experience Design
  • Visual Program Environment
  • Human Activity Data

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Fig. 10.1
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Notes

  1. 1.

    URL, February 7, 2014: http://www.quadrigram.com.

  2. 2.

    URL, February 7, 2014: http://www.bestiario.org.

  3. 3.

    LabVIEW, February 7, 2014: http://www.ni.com/labview.

  4. 4.

    The R Project for Statistical Computing, URL, February 7, 2014: http://www.r-project.org.

  5. 5.

    Gephi, an open source graph visualization and manipulation software, February 7, 2014: https://gephi.org.

  6. 6.

    URL, February 7, 2014: http://www.footoscope.com/.

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Correspondence to Fabien Girardin .

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Girardin, F. (2015). Sketching with Data. In: Bihanic, D. (eds) New Challenges for Data Design. Springer, London. https://doi.org/10.1007/978-1-4471-6596-5_10

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  • DOI: https://doi.org/10.1007/978-1-4471-6596-5_10

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