count_to_sunburst: Create an interactive plotly from count data

In yogevherz/plotme: Complex plots made easier

Description

These functions help you quickly create interactive hierarchical plots from categorical data. They expect the summary of the data created by dplyr::count() and produce either a sunburst plot (count_to_sunburst()) or a treemap plot (count_to_treemap())

Usage

count_to_sunburst(count_data, fill_by_n = FALSE, sort_by_n = FALSE)

count_to_treemap(count_data, fill_by_n = FALSE, sort_by_n = FALSE)

Arguments

count_data	An output of dplyr::count(), tibble or data frame
fill_by_n	If TRUE, uses a continuous scale to fill plot by group size
sort_by_n	If TRUE, sorts groups in plot by size, if FALSE sorts them alphabetically

Examples

library(dplyr)
starwars_count <- count(starwars, species, eye_color, name)

# sunburst plot
count_to_sunburst(starwars_count)

# fill by group size
count_to_sunburst(starwars_count, fill_by_n = TRUE)

# treemap plot, ordered by group size
count_to_treemap(starwars_count, sort_by_n = TRUE)

# display al charchaters by homeworld
starwars %>%
  count(homeworld, name) %>%
  count_to_treemap(sort_by_n = TRUE)

yogevherz/plotme documentation built on Dec. 23, 2021, 8:17 p.m.