Create a plot to explore relation between a variable and a binary target as target percent. The target variable is choosen automatically if possible (name starts with 'target')
Usage
explore_targetpct(
data,
var,
target = NULL,
title = NA,
min_val = NA,
max_val = NA,
auto_scale = TRUE,
na = NA,
flip = NA,
...
)
Arguments
- data
A dataset
- var
Numerical variable
- target
Target variable (0/1 or FALSE/TRUE)
- title
Title of the plot
- min_val
All values < min_val are converted to min_val
- max_val
All values > max_val are converted to max_val
- auto_scale
Use 0.2 and 0.98 quantile for min_val and max_val (if min_val and max_val are not defined)
- na
Value to replace NA
- flip
Flip plot? (for categorical variables)
- ...
Further arguments
Examples
iris$target01 <- ifelse(iris$Species == "versicolor",1,0)
explore_targetpct(iris)