A time series plot that displays raw data points alongside a smoothed rolling average (moving average) line. The raw data shows actual observations while the rolling average reveals underlying trends by reducing noise and short-term fluctuations. This dual-layer visualization is essential for trend identification, making patterns visible that might be obscured by day-to-day volatility.
# anyplot.ai
# line-timeseries-rolling: Time Series with Rolling Average Overlay
# Library: makie 0.21.9 | Julia 1.11.9
# Quality: 89/100 | Created: 2026-09-05
using CairoMakie
using Colors
using Random
using Statistics
using Dates
Random.seed!(42)
# --- Theme tokens (see prompts/default-style-guide.md "Theme-adaptive Chrome") ---
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 INK_MUTED = THEME == "light" ? colorant"#6B6A63" : colorant"#A8A79F"
const BRAND = colorant"#009E73" # Imprint palette position 1 — ALWAYS first series
# --- Data: SaaS product daily active users with a 30-day rolling average -------
n_days = 220
window = 30
start_date = Date(2024, 1, 1)
dates = start_date .+ Day.(0:(n_days - 1))
day_of_week = Dates.dayofweek.(dates)
trend = range(52.0, 84.0; length = n_days)
weekend_dip = [dow in (6, 7) ? -6.0 : 0.0 for dow in day_of_week]
noise = randn(n_days) .* 3.5
daily_active_users = collect(trend) .+ weekend_dip .+ noise
rolling_days = window:n_days
rolling_avg = [mean(daily_active_users[(i - window + 1):i]) for i in rolling_days]
rolling_std = [std(daily_active_users[(i - window + 1):i]) for i in rolling_days]
growth_pct = round(Int, (rolling_avg[end] - rolling_avg[1]) / rolling_avg[1] * 100)
tick_positions = collect(1:30:n_days)
if tick_positions[end] != n_days
push!(tick_positions, n_days)
end
tick_labels = Dates.format.(dates[tick_positions], "u dd")
# --- Plot ------------------------------------------------------------------
fig = Figure(
size = (1600, 900),
fontsize = 14,
backgroundcolor = PAGE_BG,
)
ax = Axis(
fig[1, 1];
title = "line-timeseries-rolling · julia · makie · anyplot.ai",
titlesize = 20,
titlecolor = INK,
xlabel = "Date",
ylabel = "Daily Active Users (thousands)",
xlabelsize = 14,
ylabelsize = 14,
xlabelcolor = INK,
ylabelcolor = INK,
xticklabelsize = 12,
yticklabelsize = 12,
xticklabelcolor = INK_SOFT,
yticklabelcolor = INK_SOFT,
xtickcolor = INK_SOFT,
ytickcolor = INK_SOFT,
xticks = (tick_positions, tick_labels),
backgroundcolor = PAGE_BG,
topspinevisible = false,
rightspinevisible = false,
leftspinecolor = INK_SOFT,
bottomspinecolor = INK_SOFT,
xgridvisible = true,
ygridvisible = true,
xgridcolor = RGBAf(INK.r, INK.g, INK.b, 0.15),
ygridcolor = RGBAf(INK.r, INK.g, INK.b, 0.15),
xminorgridvisible = false,
yminorgridvisible = false,
)
band!(
ax, rolling_days, rolling_avg .- rolling_std, rolling_avg .+ rolling_std;
color = (BRAND, 0.12),
)
lines!(
ax, 1:n_days, daily_active_users;
color = (INK_MUTED, 0.55), linewidth = 1.5, label = "Raw Data",
)
lines!(
ax, rolling_days, rolling_avg;
color = BRAND, linewidth = 3.5, label = "$(window)-Day Rolling Average",
)
scatter!(ax, [rolling_days[end]], [rolling_avg[end]]; color = BRAND, markersize = 10, strokewidth = 0)
text!(
ax, rolling_days[end], rolling_avg[end];
text = "+$(growth_pct)% growth",
color = INK,
fontsize = 13,
font = :bold,
align = (:right, :bottom),
offset = (-8, 10),
)
axislegend(
ax;
position = :lt,
labelcolor = INK,
backgroundcolor = ELEVATED_BG,
framevisible = false,
)
# --- Save --------------------------------------------------------------------
save("plot-$(THEME).png", fig; px_per_unit = 2)
Runnable source as JSON, for any HTTP client: https://api.anyplot.ai/specs/line-timeseries-rolling/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-timeseries-rolling",
"language": "julia",
"library": "makie",
"page": "https://anyplot.ai/line-timeseries-rolling/julia/makie",
"hub": "https://anyplot.ai/line-timeseries-rolling",
"code_json": "https://api.anyplot.ai/specs/line-timeseries-rolling/makie/code",
"spec_json": "https://api.anyplot.ai/specs/line-timeseries-rolling",
"render_light_png": "https://storage.googleapis.com/anyplot-images/plots/line-timeseries-rolling/julia/makie/plot-light.png",
"render_dark_png": "https://storage.googleapis.com/anyplot-images/plots/line-timeseries-rolling/julia/makie/plot-dark.png",
"quality_score": 89.0,
"license": "MIT",
"guide": "https://anyplot.ai/llms.txt"
}Part of Time Series with Rolling Average Overlay on anyplot.ai.