# Install packages
if (!requireNamespace("ggcharts", quietly = TRUE)) {
install.packages("ggcharts")
}
# Load packages
library(ggcharts)
Pyramid Chart
Hiplot website
This page is the tutorial for source code version of the Hiplot Pyramid Chart
plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:
The pyramid chart is a pyramid-like figure that distributes data on both sides of a central axis.
Setup
System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages:
ggcharts
Data Preparation
The loaded data are age, gender, and the number of people after the combination of the first two variables .
# Load data
<- read.delim("files/Hiplot/144-pyramid-chart-data.txt", header = T)
data
# View data
head(data)
age sex pop
1 0-4 male 225817
2 0-4 female 213072
3 5-9 male 223656
4 5-9 female 210508
5 10-14 male 214782
6 10-14 female 201672
Visualization
# Pyramid Chart
<- pyramid_chart(data = data, x = age, y = pop, group = sex,
p title = "", sort = "no", bar_colors = c("#C20B01","#196ABD")) +
theme(text = element_text(family = "Arial"),
plot.title = element_text(size = 12,hjust = 0.5),
axis.title = element_text(size = 12),
axis.text = element_text(size = 10),
axis.text.x = element_text(angle = 0, hjust = 0.5,vjust = 1),
legend.position = "right",
legend.direction = "vertical",
legend.title = element_text(size = 10),
legend.text = element_text(size = 10))
p

The graph shows the age groups from bottom to top in order on the central axis, the left side represents the number of men, the right side represents the number of women, and the X-axis represents the number of people. The graph clearly shows the proportion of men and women in different age groups and the proportion of different age groups in the same gender.