Create a Box Plot
viz_boxplot.RdCreates an interactive box plot using highcharter. Supports grouped boxplots, horizontal orientation, outlier display, and weighted percentile calculations.
Usage
viz_boxplot(
data,
y_var,
x_var = NULL,
title = NULL,
subtitle = NULL,
x_label = NULL,
y_label = NULL,
color_palette = NULL,
show_outliers = TRUE,
horizontal = FALSE,
weight_var = NULL,
x_order = NULL,
x_map_values = NULL,
include_na = FALSE,
na_label = "(Missing)",
tooltip = NULL,
tooltip_prefix = "",
tooltip_suffix = ""
)Arguments
- data
A data frame containing the variable to plot.
- y_var
String. Name of the numeric column for the boxplot.
- x_var
Optional string. Name of a grouping variable for multiple boxes.
- title
Optional string. Main chart title.
- subtitle
Optional string. Chart subtitle.
- x_label
Optional string. X-axis label. Defaults to
x_var.- y_label
Optional string. Y-axis label. Defaults to
y_var.- color_palette
Optional character vector of colors for the boxes.
- show_outliers
Logical. If TRUE, show outlier points. Default TRUE.
- horizontal
Logical. If TRUE, flip chart orientation. Default FALSE.
- weight_var
Optional string. Name of a weight variable for weighted percentile calculations.
- x_order
Optional character vector specifying the order of x categories.
- x_map_values
Optional named list to recode
x_varvalues (e.g.,list("1" = "Male", "2" = "Female")).- include_na
Logical. If TRUE, include NA groups as explicit category. Default FALSE.
- na_label
String. Label for NA group when
include_na = TRUE. Default "(Missing)".- tooltip
A tooltip configuration created with
tooltip(), OR a format string with {placeholders}. Boxplot-specific placeholders:{category},{high},{q3},{median},{q1},{low}. Seetooltipfor full customization options.- tooltip_prefix
Optional string prepended to values in tooltip.
- tooltip_suffix
Optional string appended to values in tooltip.
Examples
# Basic boxplot
data(gss_panel20)
#> Warning: data set ‘gss_panel20’ not found
# Example 1: Simple boxplot of age
plot1 <- viz_boxplot(
data = gss_panel20,
y_var = "age",
title = "Age Distribution"
)
#> Error: object 'gss_panel20' not found
plot1
#> Error: object 'plot1' not found
# Example 2: Boxplot by education level
plot2 <- viz_boxplot(
data = gss_panel20,
y_var = "age",
x_var = "degree",
title = "Age Distribution by Education",
x_label = "Highest Degree",
y_label = "Age (years)"
)
#> Error: object 'gss_panel20' not found
plot2
#> Error: object 'plot2' not found
# Example 3: Horizontal boxplot without outliers
plot3 <- viz_boxplot(
data = gss_panel20,
y_var = "age",
x_var = "sex",
title = "Age by Sex",
horizontal = TRUE,
show_outliers = FALSE
)
#> Error: object 'gss_panel20' not found
plot3
#> Error: object 'plot3' not found