explore_col: Explore data without aggregation (label + value)

In explore: Simplifies Exploratory Data Analysis

Explore data without aggregation (label + value)

Description

Label and Value are in the data. Create a bar plot where the heights of the bars represent the values for each label.

Usage

explore_col(
  data,
  var_label,
  var_value,
  title = NA,
  subtitle = "",
  numeric = FALSE,
  max_cat = 30,
  na = 0,
  flip = NA,
  color = "#ADD8E6"
)

Arguments

data	A dataset (categories + frequency)
var_label	Variable containing the label
var_value	Variable containing the value
title	Title of the plot
subtitle	Subtitle of the plot
numeric	Display variable as numeric (not category)
max_cat	Maximum number of categories to be plotted
na	Value to use for NA
flip	Flip plot? (for categorical variables)
color	Color for bar

Value

Plot object

Examples

library(magrittr)
data <- data.frame(label = LETTERS[1:5], value = c(1.5,2,1.2,3,2.6))
data %>% explore_col(label, value)

explore documentation built on April 3, 2025, 9 p.m.