Donut

Authors

[Editor] Hu Zheng;

[Contributors]

The donut is a variant of the pie chart, with a blank center allowing for additional information about the data as a whole to be included. Doughnut charts are similar to pie charts in that their aim is to illustrate proportions.

Setup

System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages: ggplot2

# Install packages
if (!requireNamespace("ggplot2", quietly = TRUE)) {
  install.packages("ggplot2")
}

# Load packages
library(ggplot2)

Data Preparation

The loaded data are different groups and their data.

# Load data
data <- read.delim("files/Hiplot/045-donut-data.txt", header = T)

# convert data structure
data$fraction <- data[, 2] / sum(data[, 2])
data$ymax <- cumsum(data$fraction)
data$ymin <- c(0, head(data$ymax, n = -1))
data$labelPosition <- (data$ymax + data$ymin) / 2
data$label <- paste0(data[, 1], "\n",
  "(", data[, 2], ", ", sprintf("%2.2f%%", 100 * data[, 2] / sum(data[, 2])), ")",
  sep = ""
)

# View data
head(data)

   group value  fraction      ymax      ymin labelPosition                label
1 Group1    13 0.1171171 0.1171171 0.0000000    0.05855856 Group1\n(13, 11.71%)
2 Group2    34 0.3063063 0.4234234 0.1171171    0.27027027 Group2\n(34, 30.63%)
3 Group3    21 0.1891892 0.6126126 0.4234234    0.51801802 Group3\n(21, 18.92%)
4 Group4    43 0.3873874 1.0000000 0.6126126    0.80630631 Group4\n(43, 38.74%)

Visualization

# Donut
p <- ggplot(data, aes_(ymax = as.name("ymax"), ymin = as.name("ymin"), 
                       xmax = 4, xmin = 3, fill = as.name(colnames(data)[1]))) +
  geom_rect() +
  geom_text(x = 5 + (4 - 5) / 3,
            aes(y = labelPosition, label = label), size = 4) +
  coord_polar(theta = "y") +
  xlim(c(2, 5)) +
  scale_fill_manual(values = c("#00468BCC","#ED0000CC","#42B540CC","#0099B4CC")) +
  ggtitle("Donut Plot") +
  theme_void() +
  theme(plot.title = element_text(hjust = 0.5),
        legend.position = "none")

p

Different colors represent different groups and different areas represent data and proportion.