在ggplot2中绘制饼图 [英] Plotting pie charts in ggplot2
问题描述
我想绘制一张适当的饼图。然而,这个网站上的大多数问题都是从 stat = identity
绘制的。如何绘制一个正常的饼图,如图2所示,角度与 cut
的比例成正比?我正在使用ggplot2中的钻石
数据框。
ggplot(data = diamonds,mapping = aes(x = cut,fill = cut))+
geom_bar(width = 1)+ coord_polar(theta =x)
图1
我们可以先计算每个 cut
组的百分比。我为这个任务使用了 dplyr
软件包。
$ b
library(ggplot2)
库(dplyr)
#计算每个组的百分比
diamonds_summary < - diamonds%>>%
group_by(cut)%>%
summary(Percent = n()/ nrow(。)* 100)
之后,我们可以绘制饼图。 code> scale_y_continuous(breaks = round(cumsum(rev(diamonds_summary $ Percent)),1))是根据累积百分比设置轴标签。 b
ggplot(data = diamonds_summary,mapping = aes(x =,y = Percent,fill = cut))+
geom_bar(width = 1,stat =identity)+
scale_y_continuous(breaks = round(cumsum(rev(diamonds_summary $ Percent)),1))+
coord_polar(y,start = 0)
结果如下。
I want to plot a proper pie chart. However, most of the previous questions on this site were drawn from stat = identity
. How can I plot a normal pie chart like graph 2 with the angle proportional to proportion of cut
? I am using the diamonds
data frame from ggplot2.
ggplot(data = diamonds, mapping = aes(x = cut, fill = cut)) +
geom_bar(width = 1) + coord_polar(theta = "x")
Graph 1
ggplot(data = diamonds, mapping = aes(x = cut, y=..prop.., fill = cut)) +
geom_bar(width = 1) + coord_polar(theta = "x")
Graph 2
ggplot(data = diamonds, mapping = aes(x = cut, fill = cut)) +
geom_bar()
Graph 3
We can first calculate the percentage of each cut
group. I used the dplyr
package for this task.
library(ggplot2)
library(dplyr)
# Calculate the percentage of each group
diamonds_summary <- diamonds %>%
group_by(cut) %>%
summarise(Percent = n()/nrow(.) * 100)
After that, we can plot the pie chart. scale_y_continuous(breaks = round(cumsum(rev(diamonds_summary$Percent)), 1))
is to set the axis label based on cumulative percentage.
ggplot(data = diamonds_summary, mapping = aes(x = "", y = Percent, fill = cut)) +
geom_bar(width = 1, stat = "identity") +
scale_y_continuous(breaks = round(cumsum(rev(diamonds_summary$Percent)), 1)) +
coord_polar("y", start = 0)
Here is the result.
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