The {plotme} package provides a human friendly interface for plots that are otherwise quite hard to create in R. Currently only two functions exist, to create {plotly} sunburst and treemap plots, but (hopefully) more is to come.
devtools::install_github("yogevherz/plotme")library(plotme)
library(dplyr)
library(palmerpenguins)The count_to_sunburst() and count_to_treemap() functions are built to help you quickly create interactive hierarchical {plotly} plots from categorical data. The This can be very handy when exploring new datasets. The functions expect a summary table created by dplyr::count().
Quickly create a sunburst plot:
penguins %>%
count(island, species, sex) %>%
count_to_sunburst()
To change the hierarchy, simply change the order within the count() call:
penguins %>%
count(species, island, sex) %>%
count_to_sunburst()
Color groups by number of observations:
penguins %>%
count(species, island, sex) %>%
count_to_sunburst(fill_by_n = TRUE)
Make group size proportional to the sum of another variable (in this case, the sum of body mass):
penguins %>%
count(species, island, sex, wt = body_mass_g) %>%
count_to_sunburst(fill_by_n = TRUE)
Or easily create a treemap plot instead:
penguins %>%
count(species, island, sex, wt = body_mass_g) %>%
count_to_treemap(fill_by_n = TRUE)