plot_aggregated_missing: Plot_aggregated_missing

In johnaclouse/eeda: Univariate and bivariate exploratory data analysis, but extra

Plot_aggregated_missing

Description

Plot_aggregated_missing

Usage

plot_aggregated_missing(
  df,
  eda_var = NULL,
  target_var = NULL,
  reference_var = NULL,
  plot_colors = c("#949398", "#F4DF4E"),
  width = 300,
  height = 450
)

Arguments

df	data frame
eda_var	character
target_var	character name of column for conditional analysis
reference_var	character vector of one or more columns to be used for comparison with eda_var
plot_colors	character vector of plot colors (non-missing values, missing values)
width	numeric width of plot in pixels
height	numeric height of plot in pixels

Value

NULL. Function called for side effect of rendering exploratory data anlysis visualization

Examples

# plot_conditional_distribution()

johnaclouse/eeda documentation built on July 22, 2022, 12:16 a.m.