Interval Bar Chart

Authors

[Editor] Hu Zheng;

[Contributors]

Setup

System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages: data.table; jsonlite; ggplot2

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

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

Data Preparation

The case data consists of the highest and lowest temperatures for each of the twelve months in a year, along with the corresponding abbreviated month names. Based on the case data, temperature intervals and average temperature lines have been plotted for each month.

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

# Convert data structure
data$name_num <- match(data[["month"]], unique(data[["month"]]))

# View data
head(data)

  month min_temperature max_temperature mean name_num
1   Jan              15              20   16        1
2   Feb              17              25   20        2
3   Mar              20              26   23        3
4   Apr              25              30   27        4
5   May              30              35   32        5
6   Jun              32              35   34        6

Visualization

# Interval Bar Chart
p <- ggplot(data, aes(x = month, y = max_temperature)) +
  geom_rect(aes(xmin = name_num - 0.4, xmax = name_num + 0.4,
                ymin = min_temperature, ymax = max_temperature), 
            fill = "#282726", alpha = 0.7) +
  geom_line(aes(x = name_num, y = mean), color = "#006064", size = 0.8) +
  labs(x = "Month", y = "Temperature") +
  scale_x_discrete() +
  theme_bw()

p