explore_all {explore} | R Documentation |
Explore all variables
Description
Explore all variables of a dataset (create plots)
Usage
explore_all(
data,
n,
target,
ncol = 2,
targetpct,
color = c("lightgrey", "#939FB9"),
split = TRUE
)
Arguments
data |
A dataset |
n |
Weights variable (only for count data) |
target |
Target variable (0/1 or FALSE/TRUE) |
ncol |
Layout of plots (number of columns) |
targetpct |
Plot variable as target% (FALSE/TRUE) |
color |
Forece a default color (if possible) |
split |
Split by target (TRUE|FALSE) |
Value
Plot
Examples
explore_all(iris)
iris$is_virginica <- ifelse(iris$Species == "virginica", 1, 0)
explore_all(iris, target = is_virginica)
[Package explore version 1.3.1 Index]