我正在尝试使用plotly在R中制作一个甜甜圈图。我尝试了ggplot,但无法满足我的需要。这是一个示例数据集:
library(dplyr)
testfile <- tibble(personID = 1:10,
status = c("bad", "good", "bad", "bad", "bad", "bad", "bad", "bad", "bad", "good"),
department = c("sales", "sales", "marketing", "sales", "marketing", "management", "management", "sales", "sales", "sales"))
此图表最终将出现在PowerPoint中,因此不需要响应。取而代之的是,我需要饼图说而不滚动到每个状态和的百分比。另外,在饼图的中心,我要说的是“好”类别中的百分比。
这是我到目前为止的代码。它具有不滚动而可见的百分比,但不具有计数,并且不位于中心。
library(plotly)
p <- testfile %>%
group_by(status) %>%
summarize(count = n()) %>%
plot_ly(labels = ~status, values = ~count) %>%
add_pie(hole = 0.6) %>%
layout(title = "Ratio of Good to Bad", showlegend = F,
xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = TRUE),
yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = TRUE))
此外,如果您可以显示如何按部门进行facet_wrap包装,那将非常有帮助。我一直说它是NULL!
谢谢!
答案 0 :(得分:1)
如果您想在饼图/甜甜圈图的中央添加文本,可以添加annotation。
values <- testfile %>%
group_by(status) %>%
summarize(count = n())
good <- values %>% filter(status == 'good')
p <- layout(p, annotations=list(text=paste(good$count / sum(values$count) * 100, "%", sep=""), "showarrow"=F))
要更改在饼图的每个分段中显示的标签,可以使用text
。
p <- plot_ly(values, labels = ~status, values = ~count, text = ~count)
完整代码
library(dplyr)
library(plotly)
testfile <- tibble(personID = 1:10,
status = c("bad", "good", "bad", "bad", "bad", "bad", "bad", "bad", "bad", "good"),
department = c("sales", "sales", "marketing", "sales", "marketing", "management", "management", "sales", "sales", "sales"))
values <- testfile %>%
group_by(status) %>%
summarize(count = n())
good <- values %>% filter(status == 'good')
p <- plot_ly(values, labels = ~status, values = ~count, text = ~count) %>%
add_pie(hole = 0.6) %>%
layout(title = "Ratio of Good to Bad", showlegend = F,
xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = TRUE),
yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = TRUE))
p <- layout(p, annotations=list(text=paste(good$count / sum(values$count) * 100, "%", sep=""), "showarrow"=F))
p