The same plot in 14 other libraries — Python: Altair, Bokeh, lets-plot, Matplotlib, Plotly, plotnine, Pygal, Seaborn; Julia: Makie.jl; JavaScript: Chart.js, D3.js, Apache ECharts, Highcharts, MUI X Charts. Compare all 15 side by side: Range Interval Chart in Python, R, Julia and JavaScript.
A range interval chart displays min-max ranges or intervals as vertical or horizontal bars/segments for each category, making it ideal for visualizing uncertainty bounds, confidence intervals, or value spreads. Unlike error bars which extend from a central data point, range intervals show the full span between two values as a filled bar or line segment, emphasizing the range itself rather than deviation from a center. This visualization excels at comparing ranges across multiple categories simultaneously.
#' anyplot.ai
#' range-interval: Range Interval Chart
#' Library: ggplot2 3.5.1 | R 4.4.1
#' Quality: 91/100 | Created: 2026-05-18
library(ggplot2)
library(dplyr)
library(ragg)
set.seed(42)
# --- Theme tokens -----------------------------------------------------------
THEME <- Sys.getenv("ANYPLOT_THEME", "light")
PAGE_BG <- if (THEME == "light") "#FAF8F1" else "#1A1A17"
ELEVATED_BG <- if (THEME == "light") "#FFFDF6" else "#242420"
INK <- if (THEME == "light") "#1A1A17" else "#F0EFE8"
INK_SOFT <- if (THEME == "light") "#4A4A44" else "#B8B7B0"
INK_MUTED <- if (THEME == "light") "#6B6A63" else "#A8A79F"
BRAND <- "#009E73" # Okabe-Ito position 1 — first categorical series
# --- Data -------------------------------------------------------------------
df <- data.frame(
month = c("Jan", "Feb", "Mar", "Apr", "May", "Jun",
"Jul", "Aug", "Sep", "Oct", "Nov", "Dec"),
min_temp = c(-2, 1, 8, 14, 20, 25, 28, 27, 22, 15, 7, 0),
max_temp = c(5, 9, 16, 22, 28, 32, 35, 34, 28, 20, 12, 6)
) %>%
mutate(month = factor(month, levels = unique(month)))
# --- Plot -------------------------------------------------------------------
p <- ggplot(df, aes(x = month, ymin = min_temp, ymax = max_temp)) +
geom_linerange(
color = BRAND,
linewidth = 5.5,
alpha = 0.85
) +
geom_point(
aes(y = min_temp),
color = BRAND,
size = 3.5,
alpha = 0.95
) +
geom_point(
aes(y = max_temp),
color = BRAND,
size = 3.5,
alpha = 0.95
) +
labs(
title = "range-interval · r · ggplot2 · anyplot.ai",
x = "Month",
y = "Temperature (°C)"
) +
theme_minimal(base_size = 14) +
theme(
plot.background = element_rect(fill = PAGE_BG, color = PAGE_BG),
panel.background = element_rect(fill = PAGE_BG, color = NA),
panel.grid.major.x = element_blank(),
panel.grid.minor = element_blank(),
panel.grid.major.y = element_line(
color = INK_SOFT,
linewidth = 0.2
),
panel.border = element_blank(),
axis.title = element_text(color = INK, size = 20),
axis.text = element_text(color = INK_SOFT, size = 16),
axis.ticks = element_line(color = INK_SOFT, linewidth = 0.4),
axis.line.y = element_line(color = INK_SOFT, linewidth = 0.4),
axis.line.x = element_blank(),
plot.title = element_text(color = INK, size = 24),
legend.position = "none"
)
# --- Save -------------------------------------------------------------------
ggsave(
filename = sprintf("plot-%s.png", THEME),
plot = p,
device = ragg::agg_png,
width = 16,
height = 9,
units = "in",
dpi = 300
)
Runnable source as JSON, for any HTTP client: https://api.anyplot.ai/specs/range-interval/ggplot2/code. Any spec id and library id listed in llms-full.txt fit the same URL shape; every URL below is complete and callable.
{
"spec_id": "range-interval",
"language": "r",
"library": "ggplot2",
"page": "https://anyplot.ai/range-interval/r/ggplot2",
"hub": "https://anyplot.ai/range-interval",
"code_json": "https://api.anyplot.ai/specs/range-interval/ggplot2/code",
"spec_json": "https://api.anyplot.ai/specs/range-interval",
"render_light_png": "https://storage.googleapis.com/anyplot-images/plots/range-interval/r/ggplot2/plot-light.png",
"render_dark_png": "https://storage.googleapis.com/anyplot-images/plots/range-interval/r/ggplot2/plot-dark.png",
"quality_score": 91.0,
"license": "MIT",
"guide": "https://anyplot.ai/llms.txt"
}Part of Range Interval Chart on anyplot.ai.