plot_bar: Plot bar chart

In DataExplorer: Automate Data Exploration and Treatment

Plot bar chart

Description

Plot bar chart for each discrete feature, based on either frequency or another continuous feature.

Usage

plot_bar(
  data,
  with = NULL,
  by = NULL,
  by_position = "fill",
  maxcat = 50,
  order_bar = TRUE,
  binary_as_factor = TRUE,
  title = NULL,
  ggtheme = theme_gray(),
  theme_config = list(),
  nrow = 3L,
  ncol = 3L,
  parallel = FALSE
)

Arguments

data	input data
with	name of continuous feature to be summed. Default is NULL, i.e., frequency.
by	discrete feature name to be broken down by.
by_position	position argument in geom_bar if by is supplied. Default is "fill".
maxcat	maximum categories allowed for each feature. Default is 50.
order_bar	logical, indicating if bars should be ordered. Default is TRUE.
binary_as_factor	treat binary as categorical? Default is TRUE.
title	plot title
ggtheme	complete ggplot2 themes. Default is theme_gray.
theme_config	a list of configurations to be passed to theme
nrow	number of rows per page. Default is 3.
ncol	number of columns per page. Default is 3.
parallel	enable parallel? Default is FALSE.

Details

If a discrete feature contains more categories than maxcat specifies, it will not be passed to the plotting function.

Value

invisibly return the named list of ggplot objects

Examples

# Plot bar charts for diamonds dataset
library(ggplot2)
plot_bar(diamonds)
plot_bar(diamonds, maxcat = 5)

# Plot bar charts with `price`
plot_bar(diamonds, with = "price")

# Plot bar charts by `cut`
plot_bar(diamonds, by = "cut")
plot_bar(diamonds, by = "cut", by_position = "dodge")

DataExplorer documentation built on May 29, 2024, 12:19 p.m.