A line plot with a confidence interval displays a central trend line (typically mean or median) surrounded by a shaded band representing uncertainty or variability. The combination of a clear central line and semi-transparent confidence region effectively communicates both the estimated value and its associated uncertainty, making it essential for visualizing statistical estimates, model predictions, and forecast ranges.
# anyplot.ai
# line-confidence: Line Plot with Confidence Interval
# Library: makie 0.21.9 | Julia 1.11.9
# Quality: 86/100 | Created: 2026-09-05
using CairoMakie
using Colors
using Random
Random.seed!(42)
# --- Theme tokens -----------------------------------------------------------
const THEME = get(ENV, "ANYPLOT_THEME", "light")
const PAGE_BG = THEME == "light" ? colorant"#FAF8F1" : colorant"#1A1A17"
const ELEVATED_BG = THEME == "light" ? colorant"#FFFDF6" : colorant"#242420"
const INK = THEME == "light" ? colorant"#1A1A17" : colorant"#F0EFE8"
const INK_SOFT = THEME == "light" ? colorant"#4A4A44" : colorant"#B8B7B0"
const BRAND = colorant"#009E73" # Imprint palette position 1 — ALWAYS first series
# --- Data ---------------------------------------------------------------
# Daily-active-users forecast after a product launch: a saturating growth
# curve (point estimate) with a prediction interval that widens further out
# on the forecast horizon, as is typical for time-series forecasts.
days_since_launch = collect(1:60)
noise = randn(length(days_since_launch)) .* 15
predicted_dau = @. 5000 + 4200 * (1 - exp(-days_since_launch / 18)) +
40 * sin(days_since_launch / 6) + noise
interval_margin = @. 60 + 5.5 * days_since_launch
lower_bound = predicted_dau .- interval_margin
upper_bound = predicted_dau .+ interval_margin
# --- Plot -------------------------------------------------------------------
fig = Figure(
resolution = (1600, 900),
fontsize = 14,
backgroundcolor = PAGE_BG,
)
ax = Axis(
fig[1, 1];
title = "line-confidence · julia · makie · anyplot.ai",
titlesize = 20,
titlecolor = INK,
xlabel = "Days Since Launch",
ylabel = "Daily Active Users",
xlabelsize = 14,
ylabelsize = 14,
xlabelcolor = INK,
ylabelcolor = INK,
xticklabelsize = 12,
yticklabelsize = 12,
xticklabelcolor = INK_SOFT,
yticklabelcolor = INK_SOFT,
xtickcolor = INK_SOFT,
ytickcolor = INK_SOFT,
backgroundcolor = PAGE_BG,
topspinevisible = false,
rightspinevisible = false,
leftspinecolor = INK_SOFT,
bottomspinecolor = INK_SOFT,
xgridvisible = false,
ygridcolor = RGBAf(INK.r, INK.g, INK.b, 0.15),
xminorgridvisible = false,
yminorgridvisible = false,
)
band_plot = band!(
ax, days_since_launch, lower_bound, upper_bound;
color = RGBAf(BRAND.r, BRAND.g, BRAND.b, 0.25),
)
line_plot = lines!(
ax, days_since_launch, predicted_dau;
color = BRAND,
linewidth = 3,
)
axislegend(
ax,
[line_plot, band_plot],
["Predicted DAU", "95% prediction interval"];
position = :lt,
backgroundcolor = ELEVATED_BG,
framecolor = INK_SOFT,
labelcolor = INK,
)
# --- Save -------------------------------------------------------------------
save("plot-$(THEME).png", fig; px_per_unit = 2)
Runnable source as JSON, for any HTTP client: https://api.anyplot.ai/specs/line-confidence/makie/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": "line-confidence",
"language": "julia",
"library": "makie",
"page": "https://anyplot.ai/line-confidence/julia/makie",
"hub": "https://anyplot.ai/line-confidence",
"code_json": "https://api.anyplot.ai/specs/line-confidence/makie/code",
"spec_json": "https://api.anyplot.ai/specs/line-confidence",
"render_light_png": "https://storage.googleapis.com/anyplot-images/plots/line-confidence/julia/makie/plot-light.png",
"render_dark_png": "https://storage.googleapis.com/anyplot-images/plots/line-confidence/julia/makie/plot-dark.png",
"quality_score": 86.0,
"license": "MIT",
"guide": "https://anyplot.ai/llms.txt"
}Part of Line Plot with Confidence Interval on anyplot.ai.