R + ggplot2 =>在facet饼图上添加标签 [英] R + ggplot2 => add labels on facet pie chart
问题描述
我想在face face馅饼char上添加数据标签。
也许有人可以帮助我。
我的数据:
year <-c(1,2,1,2,1,2)
prod < - c(1, (a,b,b,b,b,b,b,b,b,b,c, prod,quantity)
rm(year,prod,quantity)
代码:
library(ggplot2)
#手工计算的中心
centr2 < - c(16, 25,49,62.5,81,87.5)
ggplot(data = df,aes(x = factor(1),y = quantity,fill = factor(prod)))+
geom_bar(stat =identity)+
geom_text(aes(x = factor(1),y = centr2,label = df $ quantity),size = 10)+
facet_grid(facets =。〜 year,labeller = label_value)+
coord_polar(theta =y)
结果是:
如果我删除coord_polar(theta =y),我会得到f以下情节:
现在很明显,为什么我的数据标签不匹配。
但我不知道如何解决它。
我阅读:
1. 在饼图上放置标签
2. 将文本添加到ggplot中,使用分面密度
3. >彼得的情节获取其文本之间的对方
但没有找到答案。
我会通过定义另一个变量(我称之为 pos
)在 df
中计算文本标签的位置。我用 dplyr
来做到这一点,当然也可以使用其他方法。
library(dplyr)
library(ggplot2)
df< - df%>%group_by(year)%>%mutate(pos = cumsum(quantity) - quantity / 2)
ggplot(data = df,aes(x = factor(1),y = quantity,fill = factor(prod)))+
geom_bar(stat =identity)) +
geom_text(aes(x = factor(1),y = pos,label = quantity),size = 10)+#note y = pos
facet_grid(facets =。〜year,labeller = label_value )+
coord_polar(theta =y)
I want to add data labels on faceted pie char.
Maybe someone can can help me.
My data:
year <- c(1,2,1,2,1,2)
prod <- c(1,1,2,2,3,3)
quantity <- c(33,50,33,25,34,25)
df <- data.frame(year, prod, quantity)
rm(year, prod, quantity)
Code:
library(ggplot2)
# center's calculated by hand
centr2 <- c(16, 25, 49, 62.5, 81, 87.5)
ggplot(data=df, aes(x=factor(1), y=quantity, fill=factor(prod))) +
geom_bar(stat="identity") +
geom_text(aes(x= factor(1), y=centr2, label = df$quantity), size=10) +
facet_grid(facets = .~year, labeller = label_value) +
coord_polar(theta = "y")
And my result is:
If I remove coord_polar(theta = "y"), I will have the following plot:
And now it is clear for me, why my data labels did not match.
But I don't know how to fix it.
I read:
1. Place labels on Pie Chart
2. Add text to ggplot with facetted densities
3. Pie plot getting its text on top of each other
But didn't find the answer.
I would approach this by defining another variable (which I call pos
) in df
that calculates the position of text labels. I do this with dplyr
but you could also use other methods of course.
library(dplyr)
library(ggplot2)
df <- df %>% group_by(year) %>% mutate(pos = cumsum(quantity)- quantity/2)
ggplot(data=df, aes(x=factor(1), y=quantity, fill=factor(prod))) +
geom_bar(stat="identity") +
geom_text(aes(x= factor(1), y=pos, label = quantity), size=10) + # note y = pos
facet_grid(facets = .~year, labeller = label_value) +
coord_polar(theta = "y")
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