• ggcirclepack
  • Note to the reader
• status quo without {ggcirclepack}: precomputation required to create two more data frames
• Proposed UI
• Package functions
  • geom_circlepack_text (center)
    • Step 1. compute panel
    • Step 1.1 test compute
    • Step 2 and 3 ggproto and geom
    • Step 4. test geom
  • geom_circlepack
    • Step 1. compute_panel
    • Step 1.1. test compute
    • Step 2 & 3 ggproto and geom
    • Step 4. test geom
• Package the functions
• Issues
  • More computation under the hood for a count data case.

ggcirclepack

circle pack is an experimental package that uses the {packcircles} package to handle circle packing computation.

Note to the reader

Your feedback is on this work is greatly appreciated.

Beyond the descriptions of our work, we interject comments on our hesitations 🤔 and areas that need some work 🚧, for your consideration marked with emoji.

Your help and feedback would be greatly appreciated on any of the questions…

• Are functions named intuitively? ‘According to IBM studies, intuitive variable naming contributes more to code readability than comments, or for that matter, any other factor’ McConnell, S. Code complete
• Do functions work as you expect?
• Is there rewriting that could make the code more concise?
• What tests should be performed?

status quo without {ggcirclepack}: precomputation required to create two more data frames

library(tidyverse)
#> ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
#> ✔ dplyr     1.1.4     ✔ readr     2.1.5
#> ✔ forcats   1.0.0     ✔ stringr   1.5.1
#> ✔ ggplot2   3.5.1     ✔ tibble    3.2.1
#> ✔ lubridate 1.9.3     ✔ tidyr     1.3.1
#> ✔ purrr     1.0.2     
#> ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
#> ✖ dplyr::filter() masks stats::filter()
#> ✖ dplyr::lag()    masks stats::lag()
#> ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

gapminder::gapminder %>%  
  filter(continent == "Americas") %>%  
  filter(year == 2002) %>%  
  select(country, pop) %>% 
  mutate(id = row_number()) ->  
df_w_id

packcircles::circleProgressiveLayout(df_w_id$pop,  
                                         sizetype = 'area') ->  
x0y0radius  

x0y0radius %>%  
  packcircles::circleLayoutVertices(npoints = 50) ->  
circle_outlines  

circle_outlines %>% 
  left_join(df_w_id) %>% 
  ggplot() +  
  aes(x = x, y = y) +  
  geom_polygon(colour = "black", alpha = 0.6) +  
  aes(group = id) +  
  aes(fill = pop) +  
  geom_text(data = cbind(df_w_id, x0y0radius),  
            aes(x, y, size = pop, label = country,  
                group = NULL, fill = NULL)) +  
  theme(legend.position = "none") +  
  coord_equal()
#> Joining with `by = join_by(id)`

Proposed UI

library(tidyverse)
library(ggcirclepack)

gapminder::gapminder %>%
filter(year == 2002) %>%
  ggplot() +
  aes(id = country, area = pop) +
  geom_circlepack() +               # draws packed circles 
  geom_circlepack_text() +          # labels at the center
  coord_fixed(ratio = 1)

Package functions

geom_circlepack_text (center)

Step 1. compute panel

#' compute_panel_circlepack_center
#'
#' @return
#' @export
#'
#' @examples
compute_panel_circlepack_center <- function(data, scales, fun = sum){

  # get aes names as they appear in the data
  
  if(is.null(data$slice)){data$slice <- TRUE}

  data %>% 
    dplyr::filter(.data$slice) ->
  data
  
  grp_cols <-  c("id", "fill", "alpha", 
                 "colour", "group", "linewidth", 
                 "label", "size",
                 "linetype", "render")
  
  # Thanks June! https://github.com/teunbrand/ggplot-extension-club/discussions/15
  data %>% 
    group_by(group_by(pick(any_of(grp_cols)))) ->   
  data
  
  if(is.null(data$area)){data <- mutate(data, area = 1)}
  if(is.null(data$wt)){data$wt <- 1}
  
  data %>% 
    summarize(area = fun(.data$area*.data$wt), .groups = 'drop') ->
  data
    
  data %>%   
    arrange(id)  -> # this doesn't feel very principled; motivation is when you go from no fill to color, preserves circle position...
  data
  
  if(is.null(data$within)){data$within <- 1}

  data %>%   
    group_by(.data$within) %>% 
    mutate(prop = .data$area/sum(.data$area)) %>%
    mutate(percent = round(.data$prop*100)) -> 
  data
  
  data %>%
    pull(area) %>%
    packcircles::circleProgressiveLayout(
      sizetype = 'area') %>%
    cbind(data) ->
  data
  
  
  if(!is.null(data$render)){
    
    data %>% 
      filter(.data$render) ->
    data
    
  }
  
  data
}

Step 1.1 test compute

gapminder::gapminder %>%
filter(continent == "Americas") %>%
  filter(year == 2002) %>%
  # input must have required aesthetic inputs as columns
  select(area = pop, id = country) %>%
  compute_panel_circlepack_center() %>%
  head()
#> Warning: Unknown or uninitialised column: `slice`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#>           x         y   radius        id      area within        prop percent
#> 1 -3493.018     0.000 3493.018 Argentina  38331121      1 0.045107495       5
#> 2  1639.564     0.000 1639.564   Bolivia   8445134      1 0.009938109       1
#> 3  2732.774 -9142.026 7567.594    Brazil 179914212      1 0.211720380      21
#> 4  1150.752  4801.407 3186.661    Canada  31902268      1 0.037542116       4
#> 5  5273.817  1302.381 2221.005     Chile  15497046      1 0.018236694       2
#> 6 10562.330 -1160.651 3612.938  Colombia  41008227      1 0.048257874       5

gapminder::gapminder %>% 
  filter(year == 2002) %>% 
  select(id = continent) %>% 
  compute_panel_circlepack_center()
#> Warning: Unknown or uninitialised column: `slice`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#>            x         y    radius       id area within       prop percent
#> 1 -4.0684289  0.000000 4.0684289   Africa   52      1 0.36619718      37
#> 2  2.8209479  0.000000 2.8209479 Americas   25      1 0.17605634      18
#> 3  0.5868621 -5.635277 3.2410224     Asia   33      1 0.23239437      23
#> 4  0.5595510  5.461472 3.0901936   Europe   30      1 0.21126761      21
#> 5  3.8910939  3.456984 0.7978846  Oceania    2      1 0.01408451       1

gapminder::gapminder %>% 
  filter(year == 2002) %>% 
  mutate( render = country == "Argentina") %>% 
  select(id = continent, render) %>% 
  compute_panel_circlepack_center()
#> Warning: Unknown or uninitialised column: `slice`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#>           x         y    radius       id render area within        prop percent
#> 1 0.1077182 -2.005231 0.5641896 Americas   TRUE    1      1 0.007042254       1

gapminder::gapminder %>% 
  # filter(year == 2002) %>% 
  mutate( render = country == "Argentina") %>% 
  select(id = continent, render, area = pop) %>% 
  compute_panel_circlepack_center(fun = mean)
#> Warning: Unknown or uninitialised column: `slice`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#>           x         y   radius       id render     area within      prop
#> 1 -666.0431 -4663.549 3017.346 Americas   TRUE 28602240      1 0.1723697
#>   percent
#> 1      17

Step 2 and 3 ggproto and geom

StatCirclepackcenter <- ggplot2::ggproto(`_class` = "StatCirclepackcenter",
                                  `_inherit` = ggplot2::Stat,
                                  required_aes = c("id"),
                                  compute_panel = compute_panel_circlepack_center,
                                  default_aes = ggplot2::aes(group = after_stat(id),
                                                             size = after_stat(area),
                                                             label = after_stat(id))
                                  )


#' Title
#'
#' @param mapping
#' @param data
#' @param position
#' @param na.rm
#' @param show.legend
#' @param inherit.aes
#' @param ...
#'
#' @return
#' @export
#'
#' @examples
stat_circlepack_center <- function(mapping = NULL, data = NULL,
                                 geom = "text",
                           position = "identity", na.rm = FALSE,
                           show.legend = NA,
                           inherit.aes = TRUE, ...) {
  ggplot2::layer(
    geom = geom, # inherit other behavior
    stat = StatCirclepackcenter, # proto object from Step 2
    data = data,
    mapping = mapping,
    position = position,
    show.legend = show.legend,
    inherit.aes = inherit.aes,
    params = list(na.rm = na.rm, ...)
  )
}


#' Title
#'
#' @param mapping
#' @param data
#' @param position
#' @param na.rm
#' @param show.legend
#' @param inherit.aes
#' @param ...
#'
#' @return
#' @export
#'
#' @examples
geom_circlepack_text <- stat_circlepack_center

Step 4. test geom

gapminder::gapminder %>%
filter(year == 2002) %>%
  ggplot() +
  aes(id = country, area = pop) +
  geom_circlepack_text(alpha = .5) + 
  coord_equal() + 
  labs(title = "gapminder 2002 countries")
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

last_plot() + 
  aes(render = pop > 20000000)
#> Warning: Unknown or uninitialised column: `wt`.
#> Unknown or uninitialised column: `within`.

geom_circlepack

Step 1. compute_panel

# Step 1
#' compute_panel_circlepack
#'
#' @param data
#' @param scales
#'
#' @return
#' @export
#'
#' @examples
compute_panel_circlepack <- function(data, scales, npoints = 50, fun = sum){

  # get aes names as they appear in the data
  
  if(is.null(data$slice)){data$slice <- TRUE}

  data %>% 
    dplyr::filter(.data$slice) ->
  data
  
  grp_cols <-  c("id", "fill", "alpha", 
                 "colour", "group", "linewidth", "label", "size",
                 "linetype", "render")
  
  # Thanks June! https://github.com/teunbrand/ggplot-extension-club/discussions/15
  data %>% 
    group_by(group_by(pick(any_of(grp_cols)))) ->   
  data
  
  if(is.null(data$area)){data$area <- 1}
  if(is.null(data$wt)){data$wt <- 1}
  
  data %>% 
    summarize(area = fun(.data$area*.data$wt), .groups = 'drop') ->
  data
    
  data %>%   
    arrange(id)  -> # this doesn't feel very principled; motivation is when you go from no fill to color, preserves circle position...
  data
  
  if(is.null(data$within)){data$within <- 1}

  data %>%   
    group_by(.data$within) %>% 
    mutate(prop = .data$area/sum(.data$area)) %>%
    mutate(percent = round(.data$prop*100)) -> 
  data

  data$id = 1:nrow(data)

  data %>%
    pull(area) %>%
    packcircles::circleProgressiveLayout(
      sizetype = 'area') %>%
    packcircles::circleLayoutVertices(npoints = npoints) %>%
    left_join(data, by = join_by(id)) 

}

Step 1.1. test compute

gapminder::gapminder %>%
filter(continent == "Americas") %>%
  filter(year == 2002) %>%
  # input must have required aesthetic inputs as columns
  rename(id = country, area = pop) %>%
  compute_panel_circlepack() %>%
  head()
#> Warning: Unknown or uninitialised column: `slice`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#>            x         y id     area within      prop percent
#> 1    0.00000    0.0000  1 38331121      1 0.0451075       5
#> 2  -27.54349  437.7912  1 38331121      1 0.0451075       5
#> 3 -109.73958  868.6783  1 38331121      1 0.0451075       5
#> 4 -245.29200 1285.8657  1 38331121      1 0.0451075       5
#> 5 -432.06299 1682.7743  1 38331121      1 0.0451075       5
#> 6 -667.10708 2053.1445  1 38331121      1 0.0451075       5

Step 2 & 3 ggproto and geom

StatCirclepack <- ggplot2::ggproto(`_class` = "StatCirclepack",
                                  `_inherit` = ggplot2::Stat,
                                  required_aes = c("id"),
                                  compute_panel = compute_panel_circlepack,
                                  default_aes = ggplot2::aes(group = after_stat(id))
                                  )

#' Title
#'
#' @param mapping
#' @param data
#' @param position
#' @param na.rm
#' @param show.legend
#' @param inherit.aes
#' @param ...
#'
#' @return
#' @export
#'
#' @examples
geom_circlepack <- function(mapping = NULL, data = NULL,
                           position = "identity", na.rm = FALSE,
                           show.legend = NA,
                           inherit.aes = TRUE, ...) {
  ggplot2::layer(
    stat = StatCirclepack, # proto object from Step 2
    geom = ggplot2::GeomPolygon, # inherit other behavior
    data = data,
    mapping = mapping,
    position = position,
    show.legend = show.legend,
    inherit.aes = inherit.aes,
    params = list(na.rm = na.rm, ...)
  )
}

Step 4. test geom

gapminder::gapminder %>%
filter(year == 2002) %>%
  ggplot() +
  aes(id = country) +
  geom_circlepack(alpha = .5) + 
  geom_circlepack_text() +
  coord_equal() + 
  labs(title = "gapminder 2002 countries")
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

last_plot() +
  aes(fill = continent) + 
  labs(title = "from 5 continents")
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

last_plot() +
  aes(area = pop) + 
  geom_circlepack_text() + 
  labs(title = "with very different populations")
#> Warning: Unknown or uninitialised column: `wt`.
#> Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

last_plot() +
  facet_wrap(facets = vars(continent)) + 
  labs(title = "faceting")
#> Warning: Unknown or uninitialised column: `wt`.
#> Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

last_plot() + 
  scale_size_continuous(range = c(0, 4)) + 
  theme(legend.position = "none") + 
  labs(title = "remove legends")
#> Warning: Unknown or uninitialised column: `wt`.
#> Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

last_plot() + 
  aes(area = gdpPercap*pop) + 
  labs(title = "and very different GDPs")
#> Warning: Unknown or uninitialised column: `wt`.
#> Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

last_plot() + 
  aes(area = gdpPercap) + 
  labs(title = "and per capita GDPs 2002")
#> Warning: Unknown or uninitialised column: `wt`.
#> Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

last_plot() + 
  aes(slice = continent == "Europe") + 
  facet_null() + 
  aes(fill = after_stat(area)) + 
  aes(label = paste0(country, "\n$", round(gdpPercap)))
#> Warning: Unknown or uninitialised column: `wt`.
#> Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

gapminder::gapminder %>%
filter(year == 2002, 
       continent == "Europe") %>%
  ggplot() +
  aes(id = country, area = pop*gdpPercap) +
  geom_circlepack() + 
  geom_circlepack_text(vjust = 0, color = "grey75",
                       lineheight = .7) +
  aes(label = str_wrap(country, 10)) +
  coord_equal() + 
  scale_size(range = c(.5,4.5)) +
  aes(slice = continent == "Europe") +
  labs(title = "Percent of European Economy 2002") + 
  aes(fill = after_stat(area)) + 
  ggnewscale::new_scale(new_aes = "size") + 
  geom_circlepack_text(vjust = 1.2, color = "grey65",
                       aes(label = paste(after_stat(percent),
                                         "percent"), 
                           size = stage(after_stat = area,
                                        after_scale = size*.85))) +
  scale_size(range = c(.5, 3.5)) + 
  ggstamp::theme_void_fill("whitesmoke") +
  theme(legend.position = "none") + 
  coord_equal()
#> Coordinate system already present. Adding new coordinate system, which will
#> replace the existing one.
#> Warning: Unknown or uninitialised column: `wt`.
#> Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

  
pride_index <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2024/2024-06-11/pride_index.csv')
#> Rows: 238 Columns: 5
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (3): campus_name, campus_location, community_type
#> dbl (2): rating, students
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

comm_types <- c("large urban city",
                "medium city",
                "small city",
                "small town",
                "very small town",
                "rural community")

pride_it <- pride_index %>% 
  # fix a typo
  mutate(campus_location = str_replace(campus_location, "Swarrthmore", "Swarthmore")) %>% 
  mutate(community_type = fct_relevel(community_type, comm_types)) %>% 
  mutate(state = str_sub(campus_location, -2, -1)) %>% 
  mutate(campus_name = str_replace(campus_name, "University", "U"))

ggplot(pride_it) +
  aes(id = campus_name) + 
  aes(area = students) + 
  aes(fill = rating == 5) +
  geom_circlepack(linewidth = 0.2, color = "grey99") +
  aes(label = str_wrap(after_stat(id), 10)) +
  stat_circlepack_center(geom = GeomText, 
                         lineheight = .8) +
  scale_size(range = c(0,2)) +
  aes(size = students*as.numeric(rating == 5)) + # freshly working
  facet_wrap(facets = vars(community_type))
#> Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
#> ℹ Please use `linewidth` instead.
#> This warning is displayed once every 8 hours.
#> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
#> generated.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

gapminder::gapminder %>%
filter(year == 2002) %>%
  ggplot() +
  aes(id = country) +
  geom_circlepack(alpha = .5) + 
  coord_equal() +
  aes(area = pop) + 
  geom_circlepack_text(aes(label = after_stat(
    paste(id, "\n",
    round(area/1000000, 1), "mil."))), lineheight = .8)
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

gapminder::gapminder %>%
filter(year == 2002) %>%
  ggplot() +
  aes(id = continent) + 
  geom_circlepack() +
  geom_circlepack_text(alpha = .5) + 
  coord_equal() +
  aes(fill = continent)
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

last_plot() + 
  aes(id = country)
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

last_plot() + 
  aes(area = pop)
#> Warning: Unknown or uninitialised column: `wt`.
#> Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

 

last_plot() + 
  facet_wrap(~continent)
#> Warning: Unknown or uninitialised column: `wt`.
#> Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

gapminder::gapminder %>%
filter(year == 2002) %>%
  ggplot() +
  aes(id = country) + 
  geom_circlepack() +
  geom_circlepack_text(alpha = .5) +
  aes(area = pop) + 
  coord_equal() + 
  aes(fill = continent) + 
  aes(render = pop > 20000000)
#> Warning: Unknown or uninitialised column: `wt`.
#> Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

prop_by <- function(...) {
  area <- evalq(area, parent.frame())
  if (length(list(...)) == 0) {
    area / sum(area)
  } else {
    area / ave(area, ..., FUN = function(x) sum(abs(x)))
  }
}

last_plot() +
    aes(label = after_stat(scales::percent(prop_by("All"), 2)))
#> Warning: Unknown or uninitialised column: `wt`.
#> Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

last_plot() +
    aes(label = after_stat(scales::percent(prop_by(fill), 2)))
#> Warning: Unknown or uninitialised column: `wt`.
#> Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

# GeomTextRepel
gapminder::gapminder %>%
filter(year == 2002) %>%
  ggplot() +
  aes(id = country) + 
  geom_circlepack() +
  layer(geom = ggrepel::GeomTextRepel, 
        stat = StatCirclepackcenter, 
        position = "identity") +
  aes(area = pop) + 
  coord_equal() + 
  aes(fill = continent) + 
  aes(render = pop > 20000000)
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

gapminder::gapminder %>%
  ggplot() + 
  aes(id = country, area = pop) + 
  geom_circlepack(fun = mean) + 
  geom_circlepack_text(fun = mean) + 
  aes(label = paste(after_stat(id), "\n",
                    round(after_stat(area)/ 1000000), "million")) +
  labs(title = "Average Population - Millions from 1952-2012") + 
  aes(fill = I("plum2")) + 
  coord_equal()
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

mpg %>% 
  ggplot() + 
  aes(id = cyl, area = hwy) +
  geom_circlepack(fun = mean) + 
  geom_circlepack_text(fun = mean, lineheight = .8) + 
  scale_size(range = c(4,5)) + 
  labs(title = "Average highway MPG by number of cyl") + 
  coord_equal() + 
  aes(label = 
        after_stat(paste0(id,"cyl\n", 
                          round(area), "mpg"))) + 
  aes(fill = after_stat(area)) + 
  scale_fill_viridis_c(begin = .3, end = .7) 
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

Package the functions

knitrExtra:::chunk_to_r(chunk_name = "compute_panel_circlepack")
#> It seems you are currently knitting a Rmd/Qmd file. The parsing of the file will be done in a new R session.

knitrExtra:::chunk_to_r(chunk_name = "geom_circlepack")
#> It seems you are currently knitting a Rmd/Qmd file. The parsing of the file will be done in a new R session.

knitrExtra:::chunk_to_r(chunk_name = "compute_panel_circlepack_center")
#> It seems you are currently knitting a Rmd/Qmd file. The parsing of the file will be done in a new R session.

knitrExtra:::chunk_to_r(chunk_name = "geom_circlepack_text")
#> It seems you are currently knitting a Rmd/Qmd file. The parsing of the file will be done in a new R session.

devtools::document()
devtools::check()
devtools::install(pkg = ".", upgrade = "never") 

Issues

Wish list for ggcirclepack:

More computation under the hood for a count data case.

tidytitanic::tidy_titanic %>% 
  head()

tidytitanic::tidy_titanic %>% 
  ggplot() + 
  aes(id = "all") + 
  geom_circlepack() +
  geom_circlepack_text(aes(label = after_stat(area)), color = "gray50") +
  coord_equal() + 
  labs(title = "Titanic Passengers")
#> Warning in geom_circlepack(): All aesthetics have length 1, but the data has 2201 rows.
#> ℹ Please consider using `annotate()` or provide this layer with data containing
#>   a single row.
#> Warning in geom_circlepack_text(aes(label = after_stat(area)), color = "gray50"): All aesthetics have length 1, but the data has 2201 rows.
#> ℹ Please consider using `annotate()` or provide this layer with data containing
#>   a single row.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

layer_data(i = 2)
#> Warning in geom_circlepack(): All aesthetics have length 1, but the data has 2201 rows.
#> ℹ Please consider using `annotate()` or provide this layer with data containing
#>   a single row.
#> Warning in geom_circlepack_text(aes(label = after_stat(area)), color = "gray50"): All aesthetics have length 1, but the data has 2201 rows.
#> ℹ Please consider using `annotate()` or provide this layer with data containing
#>   a single row.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#>       size label group PANEL  id         x y   radius area within prop percent
#> 1 4.535534  2201   all     1 all -26.46885 0 26.46885 2201      1    1     100
#>   colour angle hjust vjust alpha family fontface lineheight
#> 1 gray50     0   0.5   0.5    NA               1        1.2

last_plot() +
  aes(fill = sex) +
  scale_size(range = c(3, 6))
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

last_plot() + 
  aes(alpha = survived) +
  scale_alpha_discrete(range = c(.6,.9))
#> Warning: Using alpha for a discrete variable is not advised.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

last_plot() + 
  facet_wrap(~class)
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.

last_plot() + 
  facet_grid(age ~ class)
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.
#> Warning: Unknown or uninitialised column: `area`.
#> Warning: Unknown or uninitialised column: `wt`.
#> Warning: Unknown or uninitialised column: `within`.