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Enhanced Interactive Visualizations of Statistics in Research and Innovation Platforms

This project explores the set of techniques used to transform data into meaningful visual insights, focusing on interactive visualizations of numeric data (statistics). Inspired by the potential of upcoming computing capabilities and guided by research questions, the study assesses applicable visualizations and interactions for representing statistics in Research and Innovation Platforms (RIPs). Drawing from scientific research and aiming to bridge the gap between conventional and enhanced visualizations, the project investigates dynamic/interactive graphics within the context of RIPs, emphasizing the benefits of enhanced visualization tools for data sharing and analysis. Through literature studies, online surveys, and discussions on display methods, the project aims to inform better decision-making in choosing visualization techniques for statistical analysis.

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Enhanced Interactive Visualizations of Statistics in Research and Innovation Platforms

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  1. Interactive VisualiZationsof statistics in RIP By: Tim de Boer and Kim Verkooij

  2. Data VisualiZation • The set of techniques used to turn a set of data into visual insight. • It aims to give the data a meaningful representation by exploiting • the powerful discerning capabilities of the human eye* Our focus: Interactive visualizationsof numeric data (statistics) * Edinburgh Online Graphics Dictionary http://homepages.inf.ed.ac.uk/rbf/GRDICT/grdict.htm

  3. Inspiredby • http://discoverdigitallife.com/

  4. Problem statement • “Upcoming computing capabilities provide a new medium for the invention of graphical methods for data analysis”* • "Some display methods lead to efficient, accurate visual decoding of encoded • information, and others lead to inefficient, inaccurate decoding" ** • Research question • Which visualizations and interactions are applicable for the representation of (numeric) statistics in RIP’s? * Richard A. Becker, William S. Cleveland, and Allan R. Wilks, ‘‘Dynamic Graphics For Data Analysis,’’ Statistical Science, Vol 2, 1987, pp 355-395. ** William S. Cleveland. A model for studying display methods of statistical graphics,

  5. Current state of research • Scientific research on statistical visualizations • Not within the context of RIP • Mostly for geographical visualisations • Journals • Journal of Statistical Science • Journal of the American Statistical Association • Keywords: • Dynamic/interactive visualization/graphics • statistical/scientific visualization

  6. Interactive Examples • Pivot tables • Motion charts • http://code.google.com/intl/nl-NL/apis/visualization/documentation/gallery/motionchart.html • Slice/drill down tables • http://code.google.com/intl/nl-NL/apis/visualization/documentation/gallery/linechart.html • http://code.google.com/intl/nl-NL/apis/visualization/documentation/gallery/piechart.html • http://code.google.com/intl/nl-NL/apis/visualization/documentation/gallery/scatterchart.html • … Interaction

  7. hypothesis • The enhanced interactive visualizations preferred for the first generation RIP’s do not differ that much from the conventional 2D visualizations used in paper publications. • Adoption of RIP’s is a process (dr. R. van Horik) • People are familiar with conventional visualizations • More data will get available when using enhanced visualizations for RIP’s • More data can be visualized • Using visualization tools, sharing data becomes easier • Linking of data becomes easier (SURF)

  8. Research method • Literature study • About 20 papers • Online survey: RIP readers • Goal: 50 participants • Google forms or home brew survey "It is only through rigorous studies of visual decoding that informed judgments can be made about how to choose display methods“* * William S. Cleveland. A model for studying display methods of statistical graphics,

  9. planning

  10. Discussion

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