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Statistical Visualizations with {ggstatsplot}: A Biography

Genesis

Why a new package?

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Life in the trenches (c. 2017)

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(as an academic researcher)

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(Or why did a social psychologist get into software development?)

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Life in the trenches (c. 2017, Harvard)

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Life in the trenches (c. 2017)

Proposal

Information-rich, ready-made statistical visualizations

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(minimal effort and maximum transparency)

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Defaulting to a rich graphic

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A visualization with statistical summary

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💡 Visualizations reveal problems not discernible from descriptive statistics!

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💡 Visualizations reveal problems not discernible from model summaries!

(Matejka & Fitzmaurice, Autodesk Research,2017)

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One-line syntax for producing plots

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Ready-made plots with one-line syntax


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One-line syntax for producing plots

Action Plan

{ggstatsplot} was born!

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(published on GitHub in 2017 and on CRAN in 2018)

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(published on GitHub in 2017 and on CRAN in 2018)

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Show, don’t tell

✅ No need to worry about reporting or interpretation errors!

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Simplified data analysis workflow

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(Grolemund & Wickham, R for Data Science, 2017)

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✅ Quick insight into data by combining visualization and modeling!

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Thoughtful Defaults

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User Love

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Session information

version R version 4.4.2 (2024-10-31) os Ubuntu 22.04.5 LTS system x86_64, linux-gnu - hostname fv-az661-842 + hostname fv-az711-122 ui X11 language (EN) collate C.UTF-8 @@ -5044,6 +5036,17 @@

Benefits in details

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Simplified data analysis workflow

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(Grolemund & Wickham, R for Data Science, 2017)

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✅ Quick insight into data by combining visualization and modeling!

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A grain of salt

The “Golem of Prague” problem

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