Donut

Authors

[Editor] Hu Zheng;

[Contributors]

Note

Hiplot website

This page is the tutorial for source code version of the Hiplot Donut plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:

https://hiplot.cn/basic/donut?lang=en

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.