View source: R/target_profiling.R
plotar | R Documentation |
Visual correlation analysis. Plot different graphs in order to expose the inner information of any numeric variable against the target variable
plotar(data, input, target, plot_type, path_out)
data |
data frame source |
input |
string input variable (if empty, it runs for all numeric variable), it can take a single character value or a character vector. |
target |
string of the variable to predict, it supports binary or multinominal values. |
plot_type |
Indicates the type of plot to retrieve, available values: "boxplot" or "histdens". |
path_out |
path directory, if it has a value the plot is saved. To save in current directory path must be dot: "." |
Single or multiple plots specified by 'plot_type' parameter
## It runs for all numeric variables automatically
plotar(data=heart_disease, target="has_heart_disease", plot_type="histdens")
plotar(heart_disease, input = 'age', target = 'chest_pain', plot_type = "boxplot")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.