如何订购闪避条形图？

Question

我在按降序排列闪避条形图时遇到问题。该数据集包含城市和这些城市中特定项目的价格（例如出租车、饮料、晚餐等）——数据集可以在这里找到：https://data.world/makeovermonday/2018w48

代表：

City <- c("Mexico City", "Prague", "Moscow", "Mexico City","Prague", "Moscow")
Category <- c("Date Night", "Date Night","Date Night", "Party Night", "Party Night", "Party Night")
TotalCost <- c(84.82, 86.52, 20.35, 46.29, 19, 26.56)

CostNightPrepared <- data.frame(City,Category,TotalCost)

我修改了数据集，只显示 City 、Category（晚上外出的类型）和 TotalCost，这是每个城市每个类别的总价格：

CostNightPrepared <- CostNight  %>%
  group_by(City, Category) %>%
  summarize(TotalCost = sum(Cost, na.rm = TRUE))%>%
  arrange(Category, TotalCost)

可视化数据集：

ggplot(CostNightPrepared, aes(TotalCost, fct_rev(fct_reorder(City, TotalCost)), fill=Category)) + 
  geom_bar(stat="identity",position = position_dodge(width = 0.5))

如您所见，我尝试了 fct_rev 和 fct_reorder()，但输出仍然是这样的：

如何按降序排列 'Party Night' 类别的闪避（重叠）条形图？

Answer 1

 CostNightPrepared %>%
    left_join(
      CostNightPrepared %>%
        filter(Category == "Party Night") %>%
        arrange(-TotalCost) %>%
        mutate(order = row_number()) %>%
        select(City, order)
    ) %>%
    
  ggplot(aes(TotalCost, forcats::fct_reorder(City, -order), 
         fill=Category)) + 
  geom_bar(stat="identity",position = position_dodge(width = 0.5))

Answer 2

有点破解，但解决此问题的一种方法是使用 fct_inorder。这按照它们在数据框中首次出现的顺序对 City 中的值进行排序。将其与 arrange 结合使用以设置您需要的顺序：

library(tidyverse)

CostNightPrepared %>% 
  ungroup() %>% 
  mutate(Category = fct_relevel(Category, "Party night")) %>% 
  arrange(Category, TotalCost) %>% 
  mutate(City = fct_inorder(City)) %>% 
  ggplot(aes(x = TotalCost, y = City, fill = Category)) +
  geom_bar(stat = "identity", position = "dodge")

'Party night' 类别已重新分级，以确保它在 arrange 步骤中排在顶部。如果需要，您可以将其重新升级。

Answer 3

先过滤'Party night'的数据，汇总数据并提取城市名称，按Cost.

的升序排列

CostNightPrepared %>%
  filter(Category == 'Party night') %>%
  group_by(City) %>%
  summarise(aveg = mean(Cost)) %>%
  arrange(aveg) %>%
  pull(City) -> lvls

重新排列因子水平，汇总数据并作图。

CostNightPrepared %>%
  mutate(City = factor(City, lvls)) %>%
  group_by(City, Category) %>%
  summarise(Cost = mean(Cost)) %>%
  ggplot(aes(Cost, City, fill=Category)) + 
  geom_bar(stat="identity",position = position_dodge(width = 0.5))

如何订购闪避条形图？

How to order a dodged bar chart?

r

bar-chart

ggplot2

stacked-chart

tidyverse