如何按升序排列堆叠 geom_bar

Question

我正在查看 R Tidy Tuesday 数据集（欧洲能源）。我已经将 Imports 和 Exports 按比例进行了争论，并希望通过 Imports 值的上升来安排 ggplot。只是想让它看起来整洁，但似乎无法控制顺序以查看具有下一个最大进口价值的每个后续国家。

我在代码中留下了几次尝试但注释掉了。提前致谢。

library(tidyverse)

country_totals <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-08-04/country_totals.csv')


country_totals %>% 
  filter(!is.na(country_name)) %>% 
  filter(type %in% c("Imports","Exports")) %>% 
  group_by(country_name) %>% 
  mutate(country_type_ttl = sum(`2018`)) %>% 
  mutate(country_type_pct = `2018`/country_type_ttl) %>% 
  ungroup() %>% 
  mutate(type_hold = type) %>%
  pivot_wider(names_from = type_hold, values_from = `2018`) %>% 
  # ggplot(aes(country_name, country_type_pct, fill = type)) +
  # ggplot(aes(reorder(country_name, Imports), country_type_pct, fill = type)) +
  ggplot(aes(fct_reorder(country_name, Imports), country_type_pct, fill = type)) +
  geom_bar(stat = "identity") +
  coord_flip()

Answer 1

这可以通过添加一个包含您要重新排序的值的列来实现，即 2018 年进口的百分比份额，例如使用imports_2018 = country_type_pct[type == "Imports"]。然后根据这一列重新排序计数器：

`

library(tidyverse)

country_totals <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-08-04/country_totals.csv')

country_totals %>% 
  filter(!is.na(country_name)) %>% 
  filter(type %in% c("Imports","Exports")) %>% 
  group_by(country_name) %>% 
  mutate(country_type_ttl = sum(`2018`)) %>% 
  mutate(country_type_pct = `2018`/country_type_ttl,
         imports_2018 = country_type_pct[type == "Imports"]) %>% 
  ungroup() %>% 
  mutate(type_hold = type) %>%
  ggplot(aes(fct_reorder(country_name, imports_2018), country_type_pct, fill = type)) +
  geom_bar(stat = "identity") +
  coord_flip()
#> Warning: Removed 2 rows containing missing values (position_stack).

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