Explore numeric and categorical columns with Boxplot

Author

Francisco Zambrano

Published

July 1, 2023

Installation

Development version from GitHub:

GitHub: https://github.com/zpio/ggexplorer

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remotes::install_github("zpio/ggexplorer")
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library(ggexplorer)

Examples

Dataset

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iris
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library(dplyr)
mtcars <- mtcars %>% mutate(dplyr::across(c(am, carb, cyl, gear, vs), as.factor))
mtcars

Basic Chart

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# categorical target variable
plotBoxplot(iris, target = Species)

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# numerical target variable
plotBoxplot(mtcars, target = mpg)

Fill

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plotBoxplot(iris, target = Species, fill = "steelblue")

Opacity

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plotBoxplot(iris, target = Species, alpha = 0.1)

Color of outliers

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plotBoxplot(iris, target = Species, outlier_color = 'red', fill = "steelblue")

Customize outliers with: outlier_shape, outlier_size and outlier_alpha

Number of facet columns

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plotBoxplot(iris, target = Species, ncol = 2)

Scales

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plotBoxplot(iris, target = Species, scales = "free_x", fill = "steelblue")

Colour scales

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plotBoxplot(iris, target = Species, ncol = 2) +
  ggplot2::scale_fill_viridis_d() +
  ggplot2::scale_color_viridis_d()

Flip

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plotBoxplot(iris, target = Species, flip = TRUE, ncol = 2)