DataExplorer (version 0.8.3)

plot_correlation: Create correlation heatmap for discrete features

Description

This function creates a correlation heatmap for all discrete categories.

Usage

plot_correlation(
  data,
  type = c("all", "discrete", "continuous"),
  maxcat = 20L,
  cor_args = list(),
  geom_text_args = list(),
  title = NULL,
  ggtheme = theme_gray(),
  theme_config = list(legend.position = "bottom", axis.text.x = element_text(angle = 90))
)

Value

invisibly return the ggplot object

Arguments

data

input data

type

column type to be included in correlation calculation. "all" for all columns, "discrete" for discrete features, "continuous" for continuous features.

maxcat

maximum categories allowed for each discrete feature. The default is 20.

cor_args

a list of other arguments to cor

geom_text_args

a list of other arguments to geom_text

title

plot title

ggtheme

complete ggplot2 themes. The default is theme_gray.

theme_config

a list of configurations to be passed to theme.

Details

For discrete features, the function first dummifies all categories, then calculates the correlation matrix (see cor) and plots it.

Examples

plot_correlation(iris)
plot_correlation(iris, type = "c")
plot_correlation(airquality, cor_args = list("use" = "pairwise.complete.obs"))