A horizontal bar chart where bars are sorted by influence magnitude, extending left and right from a base case vertical reference line. Each bar represents one input parameter and shows how varying that parameter between its low and high values affects the output, creating a characteristic tornado shape (widest bars at top, narrowest at bottom). Dual colors distinguish low-input from high-input effects, making it immediately clear which parameters drive the most uncertainty.
# anyplot.ai
# bar-tornado-sensitivity: Tornado Diagram for Sensitivity Analysis
# Library: makie 0.22.10 | Julia 1.11.9
# Quality: 90/100 | Created: 2026-06-02
using CairoMakie
using Colors
using Random
Random.seed!(42)
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"
# Imprint palette — semantic: green = high/upside, red = low/downside
const COLOR_HIGH = colorant"#009E73" # Imprint position 1
const COLOR_LOW = colorant"#AE3030" # Imprint position 5 (semantic anchor: downside)
# NPV sensitivity analysis — capital investment project, values in millions USD
const BASE_NPV = 120.0
parameters = [
"Discount Rate",
"Revenue Growth",
"Operating Costs",
"Terminal Value Multiple",
"Market Share",
"Tax Rate",
"Capex Intensity",
"Working Capital",
"Inflation Rate",
]
low_values = [155.0, 95.0, 142.0, 102.0, 104.0, 135.0, 131.0, 126.0, 123.0]
high_values = [ 87.0, 148.0, 99.0, 141.0, 138.0, 109.0, 112.0, 114.0, 116.0]
# Sort ascending by sensitivity range — widest bar plots at top (highest y index)
ranges = abs.(high_values .- low_values)
order = sortperm(ranges)
n = length(parameters)
params = parameters[order]
lows = low_values[order]
highs = high_values[order]
low_deltas = lows .- BASE_NPV
high_deltas = highs .- BASE_NPV
# Figure
fig = Figure(
size = (1600, 900),
fontsize = 14,
backgroundcolor = PAGE_BG,
)
title_str = "NPV Sensitivity Analysis · bar-tornado-sensitivity · julia · makie · anyplot.ai"
title_fs = round(Int, 20 * 67 / length(title_str))
ax = Axis(
fig[1, 1];
title = title_str,
titlesize = title_fs,
titlefont = :bold,
titlecolor = INK,
xlabel = "Net Present Value (millions USD)",
xlabelcolor = INK,
xlabelsize = 14,
xticklabelsize = 14,
xticklabelcolor = INK_SOFT,
yticklabelsize = 14,
yticklabelcolor = INK_SOFT,
xtickcolor = INK_SOFT,
ytickcolor = INK_SOFT,
backgroundcolor = PAGE_BG,
topspinevisible = false,
rightspinevisible = false,
leftspinevisible = false,
bottomspinecolor = INK_SOFT,
xgridcolor = RGBAf(INK.r, INK.g, INK.b, 0.12),
ygridvisible = false,
xminorgridvisible = false,
yminorgridvisible = false,
)
# Tornado bars — low and high input scenarios
barplot!(ax, 1:n, low_deltas;
direction = :x,
offset = BASE_NPV,
color = COLOR_LOW,
strokewidth = 0,
)
barplot!(ax, 1:n, high_deltas;
direction = :x,
offset = BASE_NPV,
color = COLOR_HIGH,
strokewidth = 0,
)
# Reference line at base case NPV
vlines!(ax, BASE_NPV; color = INK, linewidth = 2.0, linestyle = :dash)
# Y-axis parameter labels and limits
ax.yticks = (1:n, params)
ylims!(ax, 0.3, Float64(n) + 0.7)
# X-axis limits with padding for bar-end labels
x_pad = 10.0
xlims!(ax,
minimum(min.(lows, highs)) - x_pad,
maximum(max.(lows, highs)) + x_pad,
)
# Reference line annotation
text!(ax, [Point2f(BASE_NPV + 2.0, n + 0.4)];
text = ["Base: \$120M"],
color = INK,
fontsize = 11,
align = (:left, :center),
)
# Bar-end value labels — one label per bar tip showing the resulting NPV
for i in 1:n
xl = lows[i]
xoff_l = xl > BASE_NPV ? 2.0 : -2.0
align_l = xl > BASE_NPV ? :left : :right
text!(ax, [Point2f(xl + xoff_l, Float64(i))];
text = ["$(round(Int, xl))"],
color = COLOR_LOW,
fontsize = 11,
align = (align_l, :center),
)
xh = highs[i]
xoff_h = xh > BASE_NPV ? 2.0 : -2.0
align_h = xh > BASE_NPV ? :left : :right
text!(ax, [Point2f(xh + xoff_h, Float64(i))];
text = ["$(round(Int, xh))"],
color = COLOR_HIGH,
fontsize = 11,
align = (align_h, :center),
)
end
# Legend — framevisible=false per style guide (no legend box borders)
elem_high = PolyElement(color = COLOR_HIGH, strokecolor = :transparent)
elem_low = PolyElement(color = COLOR_LOW, strokecolor = :transparent)
Legend(
fig[1, 2],
[elem_high, elem_low],
["High Input Scenario", "Low Input Scenario"];
framevisible = false,
backgroundcolor = ELEVATED_BG,
labelcolor = INK_SOFT,
labelsize = 13,
rowgap = 8,
)
save("plot-$(THEME).png", fig; px_per_unit = 2)
Runnable source as JSON, for any HTTP client: https://api.anyplot.ai/specs/bar-tornado-sensitivity/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": "bar-tornado-sensitivity",
"language": "julia",
"library": "makie",
"page": "https://anyplot.ai/bar-tornado-sensitivity/julia/makie",
"hub": "https://anyplot.ai/bar-tornado-sensitivity",
"code_json": "https://api.anyplot.ai/specs/bar-tornado-sensitivity/makie/code",
"spec_json": "https://api.anyplot.ai/specs/bar-tornado-sensitivity",
"render_light_png": "https://storage.googleapis.com/anyplot-images/plots/bar-tornado-sensitivity/julia/makie/plot-light.png",
"render_dark_png": "https://storage.googleapis.com/anyplot-images/plots/bar-tornado-sensitivity/julia/makie/plot-dark.png",
"quality_score": 90.0,
"license": "MIT",
"guide": "https://anyplot.ai/llms.txt"
}Part of Tornado Diagram for Sensitivity Analysis on anyplot.ai.