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Descriptive Statistics, Graphs, and Visualisation

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Modern Statistical Methods for HCI

Part of the book series: Human–Computer Interaction Series ((HCIS))

Abstract

Good exploratory data analysis starts with the ability to describe and plot a data set. Exploratory data analysis has taken flight in recent years and there there is a pressing need to use the right tools to express the data correctly. In this chapter, we introduce basic descriptive statistics, principles of visualisation, and novel plotting methods using the [R] package ggplot2. We illustrate the grammar of graphics of ggplot2 with examples of commonly used graphs.

The greatest value of a picture is when it forces us to notice what we never expected to see.

–John Tukey

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Notes

  1. 1.

    http://www.r-project.org/.

  2. 2.

    To at least two decimal places.

  3. 3.

    http://docs.ggplot2.org/dev/vignettes/themes.html.

  4. 4.

    http://docs.ggplot2.org/dev/.

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Author information

Authors and Affiliations

  1. The Scientific Editing Company Ltd., Edinburgh, UK

    Joanna Young & Jan Wessnitzer

Authors
  1. Joanna Young
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  2. Jan Wessnitzer
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Corresponding author

Correspondence to Joanna Young .

Editor information

Editors and Affiliations

  1. Moray School of Education, Edinburgh University, Edinburgh, United Kingdom

    Judy Robertson

  2. Donders Centre for Cognition, Radboud University Nijmegen, Tilburg, The Netherlands

    Maurits Kaptein

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© 2016 Springer International Publishing Switzerland

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Young, J., Wessnitzer, J. (2016). Descriptive Statistics, Graphs, and Visualisation. In: Robertson, J., Kaptein, M. (eds) Modern Statistical Methods for HCI. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-26633-6_3

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  • DOI: https://doi.org/10.1007/978-3-319-26633-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26631-2

  • Online ISBN: 978-3-319-26633-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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