用JonathanA.Schwabish格式可视化堆叠条形图(2014年9月)

Question

我试图用堆叠条形图的格式绘制以下数据(df_input)，在这里我们也可以逐行看到变化。知道怎么做吗？

df_input <- data.frame( Year= c(2010,2010,2010,2010,2020,2020,2020,2020), village= c("A","B","C","D","A","B","C","D"), share = c(40,30,20,10,30,30,25,15)) 

df_input_2 <- data.frame( Year= c(2010,2010,2010,2010,2015,2015,2015,2015,2020,2020,2020,2020), village= c("A","B","C","D","A","B","C","D","A","B","C","D"), share = c(40,30,20,10,30,30,25,15,20,10,30,40))    

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Answer 1

实现这一目标的一个选择是通过geom_col和geom_line。对于geom_line，您必须按照映射在fill上的变量进行分组，将位置设置为“堆栈”，并调整起始/结束位置以考虑条形图的宽度。此外，还必须手动将geom_line的geom_line设置为y

library(ggplot2)


width <- .6 # Bar width

ggplot(df_input, aes(share, factor(Year), fill = village)) +
  geom_col(width = width) +
  geom_line(aes(x = share, 
                y = as.numeric(factor(Year)) + ifelse(Year == 2020, -width / 2, width / 2), 
                group = village), position = "stack", orientation = "y")

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用两年多的时间编辑变得更加棘手。在这种情况下，我会切换到´geom_segment`。此外，为了准备用于´geom_segment´的数据，我们还必须进行一些数据争论：

library(ggplot2)
library(dplyr)

# Example data with three years
df_input_2 <- data.frame( Year= c(2010,2010,2010,2010,2015,2015,2015,2015,2020,2020,2020,2020), village= c("A","B","C","D","A","B","C","D","A","B","C","D"), share = c(40,30,20,10,30,30,25,15,20,10,30,40))    

width = .6

# Data wrangling
df_input_2 <- df_input_2 %>% 
  group_by(Year) %>% 
  arrange(desc(village)) %>% 
  mutate(share_cum = cumsum(share)) %>% 
  group_by(village) %>% 
  arrange(Year) %>% 
  mutate(Year = factor(Year),
         Year_lead = lead(Year), share_cum_lead = lead(share_cum))

ggplot(df_input_2, aes(share, factor(Year), fill = village)) +
  geom_col(width = width) +
  geom_segment(aes(x = share_cum, xend = share_cum_lead, y = as.numeric(Year) + width / 2, yend = as.numeric(Year_lead) - width / 2, group = village))
#> Warning: Removed 4 rows containing missing values (geom_segment).

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