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Data Visualization Packages for Non-inferential Civic Statistics in High School Classrooms

In: Statistics for Empowerment and Social Engagement

Author

Listed:
  • Daniel Frischemeier

    (University of Münster)

  • Susanne Podworny

    (Paderborn University, Institute of Mathematics)

  • Rolf Biehler

    (Paderborn University, Institute of Mathematics)

Abstract

For a decent exploration of Civic Statistics data, the use of digital data analysis tools is essential. Digital tools enable learners and teachers to analyze large and multivariate data sets and to explore them with regard to statistical investigative questions and to look and search for patterns in the data. However, the range of digital data analysis tools is large, ranging from educational to professional data analysis tools. Whereas educational tools provide a low entrance hurdle, they are limited in their features for data analysis; professional tools offer a broad range of data analysis packages and methods but often require programming prerequisites. This chapter concentrates on educational data analysis tools and illustrates the application of tools like TinkerPlotsTinkerPlots, FathomFathom and CODAPCODAP in their capacity to visualize and explore Civic Statistics data—here a random sample of data from the American Community Survey.

Suggested Citation

  • Daniel Frischemeier & Susanne Podworny & Rolf Biehler, 2022. "Data Visualization Packages for Non-inferential Civic Statistics in High School Classrooms," Springer Books, in: Jim Ridgway (ed.), Statistics for Empowerment and Social Engagement, chapter 0, pages 199-236, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-20748-8_9
    DOI: 10.1007/978-3-031-20748-8_9
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