explore_count: Explore count data (categories + frequency)

In explore: Simplifies Exploratory Data Analysis

Explore count data (categories + frequency)

Description

Create a plot to explore count data (categories + freuency) Variable named 'n' is auto detected as Frequency

Usage

explore_count(
  data,
  cat,
  n,
  target,
  pct = FALSE,
  split = TRUE,
  title = NA,
  numeric = FALSE,
  max_cat = 30,
  max_target_cat = 5,
  color = c("#ADD8E6", "#7BB8DA"),
  flip = NA
)

Arguments

data	A dataset (categories + frequency)
cat	Numerical variable
n	Number of observations (frequency)
target	Target variable
pct	Show as percent?
split	Split by target (FALSE/TRUE)
title	Title of the plot
numeric	Display variable as numeric (not category)
max_cat	Maximum number of categories to be plotted
max_target_cat	Maximum number of categories to be plotted for target (except NA)
color	Color for bar
flip	Flip plot? (for categorical variables)

Value

Plot object

Examples

library(dplyr)
iris %>%
  count(Species) %>%
  explore_count(Species)

explore documentation built on Sept. 11, 2024, 7:40 p.m.