Skill: Rose Chart (R)

Category

Hiplot

When to Use

The rose chart is a column chart drawn in polar coordinates. The radius of the arc is used to indicate the size of the data.

Required R Packages

• data.table
• ggplot2
• jsonlite

Minimal Reproducible Code

# Load packages
library(data.table)
library(ggplot2)
library(jsonlite)

# Prepare data
# Load data
data <- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/rose-chart/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)

# Convert data structure
data[, 2] <- factor(data[, 2], levels = unique(data[, 2]))

# View data
head(data)

# Create visualization
# Rose Chart
p <- ggplot(data, aes(x = Sample, y = Freq)) +
  geom_col(aes(fill = Group), width = 0.9, size = 0, alpha = 0.8) +
  coord_polar() +
  ggtitle("Rose Chart") +
  scale_fill_manual(values = c("#E64B35FF", "#4DBBD5FF")) +
  theme_bw() +
  theme(aspect.ratio = 1,
        axis.text.x = element_text(colour = "black"),
        axis.text.y = element_text(colour = "black"),
        legend.title = element_blank(),
        legend.position = "bottom",
        plot.title = element_text(hjust = 0.5))

p

Key Parameters

• x: Maps Sample to the x aesthetic
• y: Maps Freq to the y aesthetic
• fill: Maps Group to the fill aesthetic
• alpha: Controls transparency (0 = fully transparent, 1 = opaque)
• width: Controls element width
• position: Position adjustment (identity, dodge, stack, fill)
• theme: Plot theme; tutorial uses theme_bw()

Tips

• Use theme_minimal() or theme_bw() for clean, publication-ready plots
• Customize color scales with scale_fill_manual() or scale_color_brewer()
• See the full tutorial for additional customization options and advanced examples

Full Tutorial

https://openbiox.github.io/Bizard/Hiplot/157-rose-chart.html