Reorder boxplot in ascending order
The fct_reorder() function by default sorts the data in the ascending order of value_variable. So, we use the fact_reorder() function to sort the data first in ascending order. Then we use the geom_boxplot() function of the ggplot2 package to plot the boxplot.
Syntax: df %>% mutate( categorical_variable= fct_reorder( categorical_variable, value_variable))
Parameters:
- df: determines the data frame to be used for reordering of data.
- categorical_variable: determines the variable which is to be reordered.
- value_variable: determines the variable according to which data is to be reordered.
Syntax to install and import tidyverse package:
install.package('tidyverse') # To install
library(tidyverse) # To import
Example:
Here, is a basic boxplot with boxes sorted in ascending order. The CSV used in the example can be downloaded here.
R
# load library tidyverse library(tidyverse) # load sample data sample_data <- read.csv("sample_box.CSV") # Reorder data with fct_reorder function # and plot boxplot sample_data <- sample_data%>%mutate(Brand=fct_reorder(Brand, Result)) # plot boxplot ggplot(sample_data, aes(x=Result, y=Brand))+ geom_boxplot() |
Output:
How to order boxes in boxplot with fct_reorder in R?
In this article, we will discuss how to reorder boxes in boxplot with the fct_reorder() function in the R Programming Language.
By default, The ggplot2 boxplot orders the boxes in alphabetical order of categorical variable. But for better visualization of data sometimes we need to reorder them in sorted order. To sort the data in ascending or descending order, we use the fct_reorder() function of the forcats package. The forcats package of the R Language contains helpers for reordering and modifying factor levels. The fct_reorder() function helps us to reorder factor levels by sorting along with another variable.
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