将数据标签添加到R中的堆叠条形图 [英] Add Data Labels to Stacked Bar Chart in R
本文介绍了将数据标签添加到R中的堆叠条形图的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我的数据框如下:
team played wins draws losses scored conceded
A 5 3 1 1 12 4
B 7 3 3 1 16 8
C 3 0 1 2 2 14
D 5 2 2 1 12 7
我设法用ggplot创建了一个带有胜利,失败和损失的堆叠式条形图:
I managed to create a stacked bar with wins, draws, losses with ggplot:
使用以下代码:
df %>% select(team,wins,draws,losses) %>%
pivot_longer(cols = -team) %>%
mutate(name = factor(name, levels = c("wins", "draws", "losses"))) %>%
ggplot(aes(x = team, y=value, fill = name)) +
geom_col(position = position_stack(reverse = TRUE)) + coord_flip()
现在,我正在尝试添加数据标签.我尝试使用 + geom_text(label = name)
,但这不起作用.我希望最终结果如下所示:
Now, I was trying to add data labels. I tried using + geom_text(label = name)
but that doesn't work. I'd like the final result to look as follows:
如果可以在每一列的右侧添加总的数据标签(即获胜,平局,亏损之和),那就太好了.
If it's possible to add total data labels (i.e. sum of wins, draws, losses) as seen on the right of each column, that'd be great.
任何帮助将不胜感激!
推荐答案
凝视点
library(tidyverse)
df_example <- read.table(text="team played wins draws losses scored conceded
A 5 3 1 1 12 4
B 7 3 3 1 16 8
C 3 0 1 2 2 14
D 5 2 2 1 12 7", header=T)
totals <- df_example %>%
select(team,wins,draws,losses) %>%
pivot_longer(cols = -team) %>%
mutate(name = factor(name, levels = c("wins", "draws", "losses"))) %>%
group_by(team) %>%
summarize(total = sum(value))
df_example %>%
select(team,wins,draws,losses) %>%
pivot_longer(cols = -team) %>%
mutate(name = factor(name, levels = c("wins", "draws", "losses"))) %>%
ggplot(aes(x = team, y=value, fill = name,label = name)) +
geom_col(position = position_stack(reverse = TRUE)) +
coord_flip() +
geom_text(aes(label = value,family = "serif"), position = position_stack(reverse = TRUE,vjust = 0.5))+
theme_bw() +
theme(text = element_text(family = "serif", color = "black", size = 15))+
theme(axis.text = element_text(family = "serif", color = "black", size = 12))+
geom_text(aes(team, total + 0.1, label = total, fill = NULL,family = "serif"), data = totals)
由 reprex软件包(v0.3.0)
Created on 2020-06-18 by the reprex package (v0.3.0)
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