Percentsge Stacked Bar Chart

Authors

[Editor] Hu Zheng;

[Contributors]

Note

Hiplot website

This page is the tutorial for source code version of the Hiplot Percentsge Stacked Bar Chart 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/stacked-percentage-bar-chart?lang=en

Setup

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

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

# Load packages
library(ggplot2)
library(dplyr)
library(tidyr)
library(scales)

Data Preparation

The case data represents the sales percentage of three different products in a shopping mall over the course of one week.

# Load data
data <- read.delim("files/Hiplot/167-stacked-percentage-bar-chart-data.txt", header = T)

# convert data structure
data$total <- rowSums(data[, -1])
data_long <- gather(data, kinds, value, -days, -total)
data_long <- data_long %>%
  group_by(days) %>%
  mutate(percent = value / total * 100)
data_long[["days"]] <- factor(data_long[["days"]], levels = data[["days"]])

# View data
head(data)

       days goods1 goods2 goods3 total
1    Monday    150    300      0   450
2   Tuesday    200    250      0   450
3 Wednesday    300    100      0   400
4  Thursday    200    300      0   500
5    Friday    100    300      0   400
6  Saturday     50     50    400   500

Visualization

# Percentsge Stacked Bar Chart
p <- ggplot(data_long, aes(x = percent, y = days, fill = kinds)) +
  geom_bar(stat = "identity", position = "stack") +
  geom_text(aes(label = ifelse(percent != 0, paste0(round(percent), "%"), "")),
            position = position_stack(vjust = 0.5)) +
  labs(title = "Percentage Stacked Bar Chart", x = "Percentage", y = "Days") +
  scale_x_continuous(labels = percent_format(scale = 1)) +
  theme_bw() +
  theme(plot.title = element_text(hjust = 0.5)) +
  scale_fill_manual(values = c("#E64B35FF","#4DBBD5FF","#00A087FF"))

p