categorical_col_chart: Plot Counts of Categorical Variables

In SangerTools: Tools for Population Health Management Analytics

Plot Counts of Categorical Variables

Description

Create a ggplot2 column chart of categorical variables with labels, in ascending order. The plot will be customised using the provided theme theme_sanger, y-axis labels will have a comma for every third integer value. If the column provided to 'grouping_var' has more than approximately 5 values, you may need to consider rotating x axis labels using theme

A comprehensive explanation of ggplot2 customisation is available here

Usage

categorical_col_chart(df, grouping_var)

Arguments

df	A dataframe with categorical variables
grouping_var	a categorical variable by which to group the count by

Value

a ggplot2 object

Examples

library(SangerTools)
library(dplyr)
library(ggplot2)
# Group by Age Band
health_data <- SangerTools::PopHealthData
health_data %>%
  dplyr::filter(Smoker == 1) %>%
  SangerTools::categorical_col_chart(AgeBand) +
  labs(
    title = "Smoking Population by Age Band",
    subtitle = "Majority of Smokers are Working Aged ",
    x = NULL,
    y = "Patient Number"
  )

SangerTools documentation built on March 18, 2022, 6:45 p.m.