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rchartscountplotlydonut-chart

Open Pie Chart/Donut Chart in R using Plotly with count and percentage

I'm trying to make a donut chart in R using plotly. I tried ggplot, but it wasn't able to give me the effect that I need. Here's a sample dataset:

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"))

This chart will end up in a PowerPoint, so it does not need to be responsive. Instead, I need the pie chart to say, without scrolling over it, the % that falls into each status and the count. Also, in the center of the pie chart, I want it to say the % that are in the "good" category.

This is the code that I have so far. It has the percentage visible without scrolling but not the count and it does not have the percentage in the center.

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))

Also, if you could show how to facet_wrap it by department, that would be very helpful. I keep getting it to say NULL!

Thank you!

Solution

  • If you want to have a text in the center of your pie/donut chart you can add an 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))

    In order to change the label which is shown in each segment of your pie chart, you can use text.

    p <- plot_ly(values, labels = ~status, values = ~count, text = ~count)

    enter image description here

    Complete code

    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