Basic Count Plot in Makie.jl (Julia)

The same plot in 14 other libraries — Python: Altair, Bokeh, lets-plot, Matplotlib, Plotly, plotnine, Pygal, Seaborn; R: ggplot2; JavaScript: Chart.js, D3.js, Apache ECharts, Highcharts, MUI X Charts. Compare all 15 side by side: Basic Count Plot in Python, R, Julia and JavaScript.

A count plot displays the frequency of observations in each category of a categorical variable using vertical bars. Unlike a basic bar chart that requires pre-computed values, a count plot automatically counts occurrences from raw data. This makes it ideal for quick exploratory analysis of categorical distributions without manual aggregation.

Basic Count Plot rendered with Makie.jl

Renders

Julia source (Makie.jl)

# anyplot.ai
# count-basic: Basic Count Plot
# Library: makie 0.21.9 | Julia 1.11.9
# Quality: 82/100 | Updated: 2026-09-27

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 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 ---------------------------------------------------------------
# Raw per-session device type from a web analytics log — count-basic tallies
# occurrences from unaggregated observations rather than pre-computed values.
device_types  = ["Desktop", "Mobile", "Tablet", "Smart TV", "Wearable"]
session_share = [820, 1150, 340, 95, 45]  # underlying popularity per device
raw_sessions = reduce(vcat, [fill(device, n) for (device, n) in zip(device_types, session_share)])
shuffle!(raw_sessions)

session_counts = Dict{String,Int}()
for device in raw_sessions
    session_counts[device] = get(session_counts, device, 0) + 1
end

# Sorted by frequency, descending
sorted_devices = sort(collect(keys(session_counts)); by = d -> session_counts[d], rev = true)
sorted_counts  = [session_counts[d] for d in sorted_devices]

# --- Plot -----------------------------------------------------------------
fig = Figure(
    resolution      = (1600, 900),
    fontsize        = 14,
    backgroundcolor = PAGE_BG,
)

ax = Axis(
    fig[1, 1];
    title             = "Device Type Sessions · count-basic · julia · makie · anyplot.ai",
    titlesize         = 20,
    titlecolor        = INK,
    xlabel            = "Device Type",
    ylabel            = "Sessions",
    xlabelsize        = 16,
    ylabelsize        = 16,
    xlabelcolor       = INK,
    ylabelcolor       = INK,
    xticklabelsize    = 13,
    yticklabelsize    = 13,
    xticklabelcolor   = INK_SOFT,
    yticklabelcolor   = INK_SOFT,
    xtickcolor        = INK_SOFT,
    ytickcolor        = INK_SOFT,
    backgroundcolor   = PAGE_BG,
    leftspinecolor    = INK_SOFT,
    bottomspinecolor  = INK_SOFT,
    xgridvisible      = false,
    ygridcolor        = RGBAf(INK.r, INK.g, INK.b, 0.12),
    xticks            = (1:length(sorted_devices), sorted_devices),
)
hidespines!(ax, :t, :r)

barplot!(
    ax, 1:length(sorted_devices), sorted_counts;
    color = BRAND, width = 0.62,
    strokewidth = 1.5, strokecolor = PAGE_BG,
)

total_sessions = sum(sorted_counts)
for (i, count) in enumerate(sorted_counts)
    text!(
        ax, i, count;
        text = string(count),
        align = (:center, :bottom),
        offset = (0, 6),
        fontsize = 14,
        color = INK,
    )
    pct = round(100 * count / total_sessions; digits = 1)
    text!(
        ax, i, count;
        text = "($(pct)%)",
        align = (:center, :bottom),
        offset = (0, 24),
        fontsize = 11,
        color = INK_SOFT,
    )
end

ylims!(ax, 0, maximum(sorted_counts) * 1.2)

# --- Save -------------------------------------------------------------------
save("plot-$(THEME).png", fig; px_per_unit = 2)

Retrieve this implementation

Runnable source as JSON, for any HTTP client: https://api.anyplot.ai/specs/count-basic/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": "count-basic",
  "language": "julia",
  "library": "makie",
  "page": "https://anyplot.ai/count-basic/julia/makie",
  "hub": "https://anyplot.ai/count-basic",
  "code_json": "https://api.anyplot.ai/specs/count-basic/makie/code",
  "spec_json": "https://api.anyplot.ai/specs/count-basic",
  "render_light_png": "https://storage.googleapis.com/anyplot-images/plots/count-basic/julia/makie/plot-light.png",
  "render_dark_png": "https://storage.googleapis.com/anyplot-images/plots/count-basic/julia/makie/plot-dark.png",
  "quality_score": 82.0,
  "license": "MIT",
  "guide": "https://anyplot.ai/llms.txt"
}

Part of Basic Count Plot on anyplot.ai.

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