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

Daniel Frischemeier (), Susanne Podworny () and Rolf Biehler ()
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Daniel Frischemeier: University of Münster
Susanne Podworny: Paderborn University, Institute of Mathematics
Rolf Biehler: Paderborn University, Institute of Mathematics

Chapter Chapter 9 in Statistics for Empowerment and Social Engagement, 2022, pp 199-236 from Springer

Abstract: 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.

Keywords: Civic Statistics; Digital toolsDigital tools; American Community SurveyAmerican Community Survey; TinkerPlotsTinkerPlots; FathomFathom; CODAPCODAP (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-031-20748-8_9

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