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What is Statsplorer?

Statsplorer (formerly known as VisiStat) is a software tool that allows users to do statistical analysis by interacting with visualizations. It guides the user to select appropriate statistical analysis tasks based on her research questions. It also prevents common statistical analysis mistakes and promotes understanding by collocating appropriate visualizations with statistical analysis results. Our user studies showed that Statsplorer helps novices to perform statistical analysis and learn about the analysis process.

 

The Team

Statsplorer is a Master's thesis by Krishna Subramanian. It is supervised by Chat Wacharamanotham, M.Sc. and Prof. Jan Borchers. It is funded in part by the German B-IT foundation. A follow-up Bachlor's thesis by Sarah Völkel focuses on evaluating how Statsplorer helps novices in learning statistics. Marty Pye is extending Statsplorer to Bayesian statistics.

Previous versions:

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Code:

 

Administrative

 

Publications


    2015

  • Marty Pye. Designing Interactive Bayesian Statistical Analysis. Masters's Thesis, RWTH Aachen University, Aachen, September 2015.
    PDF DocumentBibTeX Entry
  • Chat Wacharamanotham, Krishna Subramanian, Sarah Theres Völkel and Jan Borchers. Statsplorer: Guiding Novices in Statistical Analysis.  In CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pages 2693–2702,New York, NY, USA, April 2015.
    HomepageMoviePDF DocumentBibTeX Entry
  • 2014

  • Sarah Theres Völkel. Evaluating the Impact of an Interactive Statistical Analysis System on Learning Statistics. Bachelor's Thesis, RWTH Aachen University, Aachen, August 2014.
    PDF DocumentBibTeX Entry
  • Krishna Subramanian. VisiStat: Visualization-driven, Interactive Statistical Analysis.  In CHI ’14: Extended Abstracts on Human Factors in Computing Systems, pages 987—992,April 2014.
    PDF DocumentBibTeX Entry
  • Krishna Subramanian. VisiStat: Visualization-driven, Interactive Statistical Analysis. Masters's Thesis, RWTH Aachen University, Aachen, March 2014.
    PDF DocumentBibTeX Entry

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