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
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To at least two decimal places.
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References
Brooke J (1996) Usability evaluation in industry, chapter SUS: a quick and dirty usability scale. Taylor and Francis, London
Brooke J (2013) SUS: a perspective. J Usability Stud 8(2):29–40
Friendly M, Denis D (2001) Milestones in the history of thematic cartography, statistical graphics, and data visualization. http://www.datavis.ca/milestones
Kelleher C, Wagener T (2011) Ten guidelines for effective data visualization in scientific publications. Environ Model Softw 26(6):822–827
Krzywinski M, Altman N (2014) Visualizing samples with box plots. Nat Methods 11(2):119–120
Lewis J, Sauro J (2009) The factor structure of the system usability scale. In: Human centered design. Springer, New York, pp 94–103
Rougier N, Droettboom M, Bourne P (2014) Ten simple rules for better figures. PLoS Comput Biol 10(9):e1003833
Tufte E (2001) The visual display of quantitative information, 2nd edn. Graphics Press, New York
Wickham H (2010) A layered grammar of graphics. J Comput Graph Stat 19(1):3–28
Wickham H, Stryjewski L (2011) 40 years of boxplots. Am Statistician
Wilkinson L (2005) The grammar of graphics. Springer, New York
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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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