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tufte-viz Claude Code skill — Edward Tufte data visualization principles
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demo__giss-temperature.html
<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Tufte-viz demo · NASA GISS temperature anomalies</title>
<style>
body { font-family: Georgia, serif; max-width: 900px; margin: 40px auto; padding: 0 24px; color: #1a202c; line-height: 1.55; }
h1 { font-size: 22px; margin-bottom: 4px; }
.sub { color: #4a5568; margin-bottom: 32px; font-size: 14px; }
h2 { font-size: 16px; text-transform: uppercase; letter-spacing: 0.08em; color: #718096; margin-top: 48px; margin-bottom: 8px; font-family: system-ui, sans-serif; }
.caption { font-size: 13px; color: #4a5568; margin-top: 8px; font-style: italic; }
.panel { margin-bottom: 16px; }
.shift { background: #f7fafc; border-left: 3px solid #1a202c; padding: 14px 18px; margin-top: 24px; font-size: 14px; }
.shift b { font-family: system-ui, sans-serif; }
.shift ul { margin: 8px 0 0 0; padding-left: 20px; }
.shift li { margin-bottom: 4px; }
</style>
</head>
<body>
<h1>NASA GISS land–ocean temperature anomalies by latitude band, 1880–2025</h1>
<div class="sub">A demonstration of how the <code>tufte-viz</code> skill shifts the design. Same data, two treatments.</div>
<h2>Pre — typical default chart</h2>
<div class="panel">
<svg viewBox="0 0 760 420" xmlns="http://www.w3.org/2000/svg" style="font-family:system-ui,sans-serif">
<defs>
<linearGradient id="bg" x1="0" y1="0" x2="0" y2="1">
<stop offset="0%" stop-color="#f7fafc"/>
<stop offset="100%" stop-color="#edf2f7"/>
</linearGradient>
<filter id="shadow" x="-10%" y="-10%" width="120%" height="120%">
<feGaussianBlur in="SourceAlpha" stdDeviation="3"/>
<feOffset dx="0" dy="2"/>
<feComponentTransfer><feFuncA type="linear" slope="0.2"/></feComponentTransfer>
<feMerge><feMergeNode/><feMergeNode in="SourceGraphic"/></feMerge>
</filter>
</defs>
<rect width="100%" height="100%" fill="url(#bg)" rx="12"/>
<text x="380.0" y="26" text-anchor="middle" font-size="20" font-weight="700" fill="#1a202c" filter="url(#shadow)">Global Temperature Anomalies by Latitude Band</text>
<g transform="translate(70,40)">
<line x1="0" y1="320.0" x2="560" y2="320.0" stroke="#cbd5e0" stroke-width="1"/><text x="-10" y="324.0" text-anchor="end" font-size="12" fill="#4a5568">-3°C</text><line x1="0" y1="270.8" x2="560" y2="270.8" stroke="#cbd5e0" stroke-width="1"/><text x="-10" y="274.8" text-anchor="end" font-size="12" fill="#4a5568">-2°C</text><line x1="0" y1="221.5" x2="560" y2="221.5" stroke="#cbd5e0" stroke-width="1"/><text x="-10" y="225.5" text-anchor="end" font-size="12" fill="#4a5568">-1°C</text><line x1="0" y1="172.3" x2="560" y2="172.3" stroke="#cbd5e0" stroke-width="1"/><text x="-10" y="176.3" text-anchor="end" font-size="12" fill="#4a5568">+0°C</text><line x1="0" y1="123.1" x2="560" y2="123.1" stroke="#cbd5e0" stroke-width="1"/><text x="-10" y="127.1" text-anchor="end" font-size="12" fill="#4a5568">+1°C</text><line x1="0" y1="73.8" x2="560" y2="73.8" stroke="#cbd5e0" stroke-width="1"/><text x="-10" y="77.8" text-anchor="end" font-size="12" fill="#4a5568">+2°C</text><line x1="0" y1="24.6" x2="560" y2="24.6" stroke="#cbd5e0" stroke-width="1"/><text x="-10" y="28.6" text-anchor="end" font-size="12" fill="#4a5568">+3°C</text><line x1="0.0" y1="0" x2="0.0" y2="320" stroke="#cbd5e0" stroke-width="1"/><text x="0.0" y="338" text-anchor="middle" font-size="12" fill="#4a5568">1880</text><line x1="77.2" y1="0" x2="77.2" y2="320" stroke="#cbd5e0" stroke-width="1"/><text x="77.2" y="338" text-anchor="middle" font-size="12" fill="#4a5568">1900</text><line x1="154.5" y1="0" x2="154.5" y2="320" stroke="#cbd5e0" stroke-width="1"/><text x="154.5" y="338" text-anchor="middle" font-size="12" fill="#4a5568">1920</text><line x1="231.7" y1="0" x2="231.7" y2="320" stroke="#cbd5e0" stroke-width="1"/><text x="231.7" y="338" text-anchor="middle" font-size="12" fill="#4a5568">1940</text><line x1="309.0" y1="0" x2="309.0" y2="320" stroke="#cbd5e0" stroke-width="1"/><text x="309.0" y="338" text-anchor="middle" font-size="12" fill="#4a5568">1960</text><line x1="386.2" y1="0" x2="386.2" y2="320" stroke="#cbd5e0" stroke-width="1"/><text x="386.2" y="338" text-anchor="middle" font-size="12" fill="#4a5568">1980</text><line x1="463.4" y1="0" x2="463.4" y2="320" stroke="#cbd5e0" stroke-width="1"/><text x="463.4" y="338" text-anchor="middle" font-size="12" fill="#4a5568">2000</text><line x1="540.7" y1="0" x2="540.7" y2="320" stroke="#cbd5e0" stroke-width="1"/><text x="540.7" y="338" text-anchor="middle" font-size="12" fill="#4a5568">2020</text>
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<text x="350.0" y="412" text-anchor="middle" font-size="13" fill="#2d3748">Year</text>
<text x="20" y="200.0" text-anchor="middle" font-size="13" fill="#2d3748" transform="rotate(-90 20 200.0)">Anomaly (°C)</text>
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<rect x="0" y="20" width="14" height="14" fill="#e74c3c" rx="2"/><text x="22" y="31" font-size="12" fill="#2d3748">Arctic (64°–90°N)</text><rect x="0" y="42" width="14" height="14" fill="#e67e22" rx="2"/><text x="22" y="53" font-size="12" fill="#2d3748">High N (44°–64°N)</text><rect x="0" y="64" width="14" height="14" fill="#f1c40f" rx="2"/><text x="22" y="75" font-size="12" fill="#2d3748">Mid N (24°–44°N)</text><rect x="0" y="86" width="14" height="14" fill="#27ae60" rx="2"/><text x="22" y="97" font-size="12" fill="#2d3748">Trop N (0°–24°N)</text><rect x="0" y="108" width="14" height="14" fill="#1abc9c" rx="2"/><text x="22" y="119" font-size="12" fill="#2d3748">Trop S (24°S–0°)</text><rect x="0" y="130" width="14" height="14" fill="#3498db" rx="2"/><text x="22" y="141" font-size="12" fill="#2d3748">Mid S (44°–24°S)</text><rect x="0" y="152" width="14" height="14" fill="#9b59b6" rx="2"/><text x="22" y="163" font-size="12" fill="#2d3748">High S (64°–44°S)</text><rect x="0" y="174" width="14" height="14" fill="#e91e63" rx="2"/><text x="22" y="185" font-size="12" fill="#2d3748">Antarctic (90°–64°S)</text>
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</div>
<div class="caption">Eight rainbow lines on a shared grid with a side legend. The polar-amplification story is buried in color overlap.</div>
<h2>Post — Tufte-styled small multiples</h2>
<div class="panel">
<svg viewBox="0 0 800 676" xmlns="http://www.w3.org/2000/svg" style="font-family:Georgia,serif;background:#fdfdfb">
<text x="20" y="18" font-size="13" font-style="italic" fill="#1a202c">
Anomaly by latitude band, 1880–2025 — band in <tspan font-weight="700">black</tspan>, global average in <tspan fill="#718096">gray</tspan>; 2025 value at right.
All panels share y-scale −3°C to +3.5°C; black tick at the left of each panel marks that band's own data extent.
</text>
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<text x="160" y="32.0" text-anchor="end" font-size="12" font-weight="500" fill="#1a202c">Arctic (64°–90°N)</text>
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<text x="160" y="32.0" text-anchor="end" font-size="12" font-weight="500" fill="#1a202c">Antarctic (90°–64°S)</text>
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<text x="506" y="19.5" font-size="11" font-weight="600" fill="#c53030">+1.59°</text>
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<text x="170.0" y="620" text-anchor="middle" font-size="10" fill="#4a5568">1880</text><text x="307.9" y="620" text-anchor="middle" font-size="10" fill="#4a5568">1920</text><text x="445.9" y="620" text-anchor="middle" font-size="10" fill="#4a5568">1960</text><text x="583.8" y="620" text-anchor="middle" font-size="10" fill="#4a5568">2000</text><text x="670.0" y="620" text-anchor="middle" font-size="10" fill="#4a5568">2025</text>
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<div class="caption">Each band gets its own panel, ordered north → south, on a shared y-scale that contains all observed values. The global average sits behind every panel in light gray. A black tick at the left marks each band's own data extent. The 2025 value is annotated at the right end. Scanning down the stack: warming intensifies dramatically toward the Arctic; Antarctic shows wide historical variability around a smaller trend.</div>
<div class="shift">
<b>What the skill changed</b>
<ul>
<li><b>Rainbow lines → small multiples.</b> Comparison is the analytical act here; small multiples make it direct.</li>
<li><b>Legend → direct labeling.</b> Band name on the left, 2025 value at the right end. The eye never leaves the data.</li>
<li><b>Heavy grid → range tick + single zero line.</b> Each panel's y-axis is a single tick marking that band's data extent. Far higher data-ink ratio.</li>
<li><b>Color encoding → layering.</b> Gray global-average underlay lets each band's deviation from the planet read instantly.</li>
<li><b>Macro/micro.</b> Glance: warming concentrates in the Arctic; Antarctic is volatile. Close read: each panel's trajectory and 2025 value.</li>
</ul>
</div>
</body>
</html>
Raw
demo__kyoto-sakura.html
<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Tufte-viz demo · Kyoto cherry blossom 812–2015</title>
<style>
body { font-family: Georgia, serif; max-width: 980px; margin: 40px auto; padding: 0 24px; color: #1a202c; line-height: 1.55; }
h1 { font-size: 22px; margin-bottom: 4px; }
.sub { color: #4a5568; margin-bottom: 32px; font-size: 14px; }
h2 { font-size: 16px; text-transform: uppercase; letter-spacing: 0.08em; color: #718096; margin-top: 48px; margin-bottom: 8px; font-family: system-ui, sans-serif; }
.caption { font-size: 13px; color: #4a5568; margin-top: 8px; font-style: italic; }
.panel { margin-bottom: 16px; }
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.shift b { font-family: system-ui, sans-serif; }
.shift ul { margin: 8px 0 0 0; padding-left: 20px; }
.shift li { margin-bottom: 4px; }
.punchline { background:#1a202c; color:#f7fafc; padding:14px 18px; margin-top:24px; font-size:14px; }
</style>
</head>
<body>
<h1>Kyoto cherry blossom (sakura) full-bloom dates, 812–2015 CE</h1>
<div class="sub">Yasuyuki Aono's compilation from Heian-era court diaries, temple records, and modern observation. 1,204 years; 827 observations.</div>
<h2>Pre — typical default chart</h2>
<div class="panel">
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<text x="440.0" y="28" text-anchor="middle" font-size="20" font-weight="700" fill="#702459" filter="url(#shadow)">Cherry Blossom Full-Bloom Day in Kyoto, 812–2015</text>
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<text x="450.0" y="372" text-anchor="middle" font-size="13" fill="#702459">Year (CE)</text>
<text x="20" y="190.0" text-anchor="middle" font-size="13" fill="#702459" transform="rotate(-90 20 190.0)">Day of Year of Full Bloom</text>
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</div>
<div class="caption">Connect-the-dots line across all valid years. Year-to-year jitter dominates; the long-term signal disappears into the noise.</div>
<h2>Post — Tufte treatment</h2>
<div class="panel">
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<text x="191.8" y="-18" text-anchor="middle" font-size="10" fill="#718096" font-style="italic">Medieval Warm Period</text><text x="495.5" y="-18" text-anchor="middle" font-size="10" fill="#718096" font-style="italic">Little Ice Age</text><text x="725.7" y="-18" text-anchor="middle" font-size="10" fill="#718096" font-style="italic">Industrial era</text>
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<line x1="0.0" y1="300" x2="0.0" y2="303" stroke="#1a202c" stroke-width="0.6"/><text x="0.0" y="316" text-anchor="middle" font-size="10" fill="#4a5568">800</text><line x1="127.9" y1="300" x2="127.9" y2="303" stroke="#1a202c" stroke-width="0.6"/><text x="127.9" y="316" text-anchor="middle" font-size="10" fill="#4a5568">1000</text><line x1="255.7" y1="300" x2="255.7" y2="303" stroke="#1a202c" stroke-width="0.6"/><text x="255.7" y="316" text-anchor="middle" font-size="10" fill="#4a5568">1200</text><line x1="383.6" y1="300" x2="383.6" y2="303" stroke="#1a202c" stroke-width="0.6"/><text x="383.6" y="316" text-anchor="middle" font-size="10" fill="#4a5568">1400</text><line x1="511.5" y1="300" x2="511.5" y2="303" stroke="#1a202c" stroke-width="0.6"/><text x="511.5" y="316" text-anchor="middle" font-size="10" fill="#4a5568">1600</text><line x1="639.3" y1="300" x2="639.3" y2="303" stroke="#1a202c" stroke-width="0.6"/><text x="639.3" y="316" text-anchor="middle" font-size="10" fill="#4a5568">1800</text><line x1="767.2" y1="300" x2="767.2" y2="303" stroke="#1a202c" stroke-width="0.6"/><text x="767.2" y="316" text-anchor="middle" font-size="10" fill="#4a5568">2000</text>
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<text x="20" y="210.0" text-anchor="middle" font-size="11" fill="#4a5568" transform="rotate(-90 20 210.0)">Bloom date (earlier ↑)</text>
</svg>
</div>
<div class="caption">
Each gray dot is one historical observation; the dark line is a 30-year running median. Y-axis inverted so earlier blossoms (= warmer spring) appear higher. Light shaded bands behind the data mark major climate epochs (labels above). Three records are circled: the earliest and latest historical observations, and the most recent year in the file. The signal: the 30-year median sat near the pre-industrial baseline (≈April 15) for over a millennium, then dropped to ≈April 5 in the industrial era — ten days earlier, a phenological fingerprint of modern warming.
</div>
<div class="punchline">
The pre version contains exactly the same data and is not "wrong." But anyone who reads it walks away thinking "blossom dates vary a lot." Anyone who reads the post version walks away thinking "the medieval Japanese saw the spring arrive on April 15; modern Japanese see it on April 5." Same dataset, opposite takeaway.
</div>
<div class="shift">
<b>What the skill changed</b>
<ul>
<li><b>Connected line → dot scatter + running median.</b> Separates noise from signal; honors graphical integrity.</li>
<li><b>Heavy grid → three labeled dashed dates + one baseline.</b> Each line has a meaning a reader can use.</li>
<li><b>Y-axis inversion.</b> Climate interpretation becomes directly visible.</li>
<li><b>Climate epoch bands.</b> Layered behind, labels above the plot strip — context without competing.</li>
<li><b>Direct annotation of three records, with leader lines.</b> Each label has its own clear space; no overlap with bands, baseline, or other annotations.</li>
<li><b>Explanatory text moved to caption.</b> The plot carries only data + landmarks; prose lives below.</li>
</ul>
</div>
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Raw
demo__sunspot-butterfly.html
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<title>Tufte-viz demo · Sunspot butterfly diagram</title>
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<h1>Royal Greenwich Observatory sunspot areas by solar latitude, 1874–2013</h1>
<div class="sub">A second <code>tufte-viz</code> demonstration. Same data, two treatments — but here the contrast is more severe because the default approach <i>destroys</i> the dataset's signature pattern.</div>
<h2>Pre — typical default chart</h2>
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<text x="350.0" y="412" text-anchor="middle" font-size="13" fill="#2d3748">Year</text>
<text x="20" y="200.0" text-anchor="middle" font-size="13" fill="#2d3748" transform="rotate(-90 20 200.0)">Total area (millionths)</text>
<g transform="translate(660,40)"><rect x="0" y="20" width="14" height="14" fill="#e74c3c" rx="2"/><text x="22" y="31" font-size="12" fill="#2d3748">High N (>30°N)</text><rect x="0" y="42" width="14" height="14" fill="#e67e22" rx="2"/><text x="22" y="53" font-size="12" fill="#2d3748">Mid N (10–30°N)</text><rect x="0" y="64" width="14" height="14" fill="#f1c40f" rx="2"/><text x="22" y="75" font-size="12" fill="#2d3748">Equator (±10°)</text><rect x="0" y="86" width="14" height="14" fill="#27ae60" rx="2"/><text x="22" y="97" font-size="12" fill="#2d3748">Mid S (10–30°S)</text><rect x="0" y="108" width="14" height="14" fill="#3498db" rx="2"/><text x="22" y="119" font-size="12" fill="#2d3748">High S (>30°S)</text></g>
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</div>
<div class="caption">The default move when handed sunspot-area-vs-latitude data: aggregate the 50 latitude bins into 5 broad bands and plot as time series. You can see the ~11-year cycle, but the latitude story — sunspots starting at high latitudes and migrating toward the equator within each cycle — is gone. Bands at ±30°N and ±15° both light up; you cannot tell that they do so <i>sequentially within a single cycle</i>. ~93,000 data cells reduced to 5 lines.</div>
<h2>Post — Maunder butterfly diagram</h2>
<div class="panel">
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<text x="20" y="18" font-size="13" font-style="italic" fill="#1a202c">
Sunspot area by solar latitude — every darker pixel marks where sunspots appeared. Vertical: latitude ±46°; horizontal: 1874–2013 (≈1,870 Carrington rotations × 34 sin(lat) bins ≈ 64,000 data cells)
</text>
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"/>
<line x1="70" y1="270" x2="870" y2="270" stroke="#1a202c" stroke-width="0.6"/>
<line x1="70" y1="30" x2="70" y2="270" stroke="#1a202c" stroke-width="0.6"/>
<line x1="67" y1="263.4" x2="70" y2="263.4" stroke="#1a202c" stroke-width="0.6"/><text x="64" y="266.4" text-anchor="end" font-size="10" fill="#4a5568">-40°</text><line x1="67" y1="210.4" x2="70" y2="210.4" stroke="#1a202c" stroke-width="0.6"/><text x="64" y="213.4" text-anchor="end" font-size="10" fill="#4a5568">-20°</text><line x1="67" y1="150.0" x2="70" y2="150.0" stroke="#1a202c" stroke-width="0.6"/><text x="64" y="153.0" text-anchor="end" font-size="10" fill="#4a5568">+0°</text><line x1="67" y1="89.6" x2="70" y2="89.6" stroke="#1a202c" stroke-width="0.6"/><text x="64" y="92.6" text-anchor="end" font-size="10" fill="#4a5568">+20°</text><line x1="67" y1="36.6" x2="70" y2="36.6" stroke="#1a202c" stroke-width="0.6"/><text x="64" y="39.6" text-anchor="end" font-size="10" fill="#4a5568">+40°</text>
<line x1="102.5" y1="270" x2="102.5" y2="273" stroke="#1a202c" stroke-width="0.6"/><text x="102.5" y="285" text-anchor="middle" font-size="10" fill="#4a5568">1880</text><line x1="217.1" y1="270" x2="217.1" y2="273" stroke="#1a202c" stroke-width="0.6"/><text x="217.1" y="285" text-anchor="middle" font-size="10" fill="#4a5568">1900</text><line x1="331.7" y1="270" x2="331.7" y2="273" stroke="#1a202c" stroke-width="0.6"/><text x="331.7" y="285" text-anchor="middle" font-size="10" fill="#4a5568">1920</text><line x1="446.3" y1="270" x2="446.3" y2="273" stroke="#1a202c" stroke-width="0.6"/><text x="446.3" y="285" text-anchor="middle" font-size="10" fill="#4a5568">1940</text><line x1="560.8" y1="270" x2="560.8" y2="273" stroke="#1a202c" stroke-width="0.6"/><text x="560.8" y="285" text-anchor="middle" font-size="10" fill="#4a5568">1960</text><line x1="675.4" y1="270" x2="675.4" y2="273" stroke="#1a202c" stroke-width="0.6"/><text x="675.4" y="285" text-anchor="middle" font-size="10" fill="#4a5568">1980</text><line x1="790.0" y1="270" x2="790.0" y2="273" stroke="#1a202c" stroke-width="0.6"/><text x="790.0" y="285" text-anchor="middle" font-size="10" fill="#4a5568">2000</text>
<text x="470.0" y="316" text-anchor="middle" font-size="11" fill="#4a5568">Year (small numbers above the panel are solar cycle numbers)</text>
<text x="20" y="150.0" text-anchor="middle" font-size="11" fill="#4a5568" transform="rotate(-90 20 150.0)">Heliographic latitude</text>
</svg>
</div>
<div class="caption">The same data rendered as a 2D heatmap: every darker pixel marks a Carrington rotation × latitude bin where sunspots appeared, intensity proportional to area. Each "wing" is one ~11-year solar cycle. The migration is unmistakable: every cycle starts at high latitudes (±25–30°) and drifts toward the equator over ~11 years. Cycle 19 (mid-1950s) is the strongest on record; cycles 23 and 24 (2000s) are visibly weaker — a fact invisible in the line chart.</div>
<div class="punchline">
This redesign is the original Maunder butterfly diagram (E. Walter Maunder, 1904). It was Tufte-grade before Tufte. The point of the pre/post: a competent default approach can throw away the most important pattern in the data, and you'd never know unless you started with "what does the data look like in its highest-resolution form?"
</div>
<div class="shift">
<b>What the skill changed</b>
<ul>
<li><b>Aggregation → density.</b> Default reduced 93k cells to 5 lines; Tufte-style preserves the full grid. Data density is itself a quality signal.</li>
<li><b>Color encoding → intensity encoding.</b> Five rainbow lines → single monochrome intensity scale. Color now means one thing (more spots) instead of five (which band).</li>
<li><b>Time-as-x, value-as-y → time-as-x, position-as-y, value-as-intensity.</b> Adding a dimension lets the spatial story emerge.</li>
<li><b>Cropped to the data's natural extent.</b> Latitude axis goes to ±46° because that's where sunspots live; the polar zones are visually empty and were excluded. Range-frame thinking applied to a 2D grid.</li>
<li><b>Direct annotation.</b> Solar cycle numbers labeled directly above each wing. No legend.</li>
</ul>
</div>
</body>
</html>
Raw
SKILL.md
name tufte-viz
description Ideate and critique data visualizations using Edward Tufte's principles from "The Visual Display of Quantitative Information." Use this skill when: (1) Designing new data visualizations or charts (2) Critiquing or improving existing visualizations (3) Reviewing dashboards or reports for graphical integrity (4) Deciding between visualization approaches (5) Reducing chartjunk or improving data-ink ratio (6) Planning small multiples or high-density displays Applies principles: data-ink ratio, chartjunk elimination, graphical integrity, lie factor, small multiples, and data density.

Tufte Visualization Ideation

Apply Edward Tufte's principles to design clear, honest, high-density data visualizations.

Workflow

For new visualizations:

  1. Clarify the data story

    • What comparisons matter?
    • What's the key insight to communicate?
    • Who's the audience?

  2. Select approach using Tufte principles:

    • High comparison need → Small multiples
    • Dense data → Consider data tables, sparklines
    • Time-series → Line charts with minimal grid
    • Part-to-whole → Avoid pie charts; prefer bar/table

  3. Design with data-ink in mind

    • Start minimal, add only what's necessary
    • Every element must earn its ink
    • Default to grayscale; use color purposefully

  4. Apply the eraser test before shipping

    • For every element (label, tick, gridline, border, annotation): can it be erased without losing information that's not already conveyed elsewhere?
    • Watch for duplicate encodings: numeric labels next to a value already marked by a tick; legends duplicating direct labels; per-panel scale annotations duplicating a shared-scale caption.
    • If two elements compete for the same job, keep the visual one and drop the textual one (or vice versa) — not both.

  5. Apply the collision test before shipping

    • For every text element in the plot (axis labels, point annotations, epoch labels, baseline labels, explanatory notes): mentally draw its bounding box. Does anything else — another text element, a data line, dense markers — live in or cross that box?
    • The eraser test catches redundant elements; the collision test catches crowded ones. Both must pass.
    • Standard fixes: move explanatory prose out of the plot into the figcaption; relocate band/epoch labels to a dedicated strip above the plot; push baseline/reference labels to the outside margin; give each in-plot annotation a leader line so the marker and the text occupy clearly separated space.
    • Watch especially: inverted axes (top of plot is now where extreme values cluster, where annotations also want to go); shared-scale small multiples (labels stacked near zero in every panel); dense scatter (text vanishes into the dot cloud unless explicitly cleared).

  6. Apply the Tufte test (see references/tufte-principles.md)

For critiquing visualizations:

  1. Check graphical integrity

    • Calculate lie factor if proportions seem off
    • Verify baselines and scales
    • Look for 3D distortion

  2. Identify chartjunk

    • Decorative elements
    • Heavy grids
    • Unnecessary 3D effects
    • Moiré patterns

  3. Evaluate data-ink ratio

    • What can be erased?
    • What's redundant?

  4. Suggest improvements with specific before/after recommendations

Key Principles Reference

  • references/tufte-principles.md — core principles from Visual Display of Quantitative Information: lie factor, data-ink, chartjunk, small multiples, integrity.
  • references/analytical-design.md — extensions from Envisioning Information, Visual Explanations, and Beautiful Evidence: the 6 principles of analytical design, sparklines, layering & separation, micro/macro, range-frames, causality, confections. Load when designing dashboards, dense displays, sparklines, or explanatory graphics.

Quick checklist:

  • Lie Factor ≈ 1.0 (no visual distortion)
  • Maximum data-ink ratio
  • Zero chartjunk
  • Clear labeling
  • Answers "compared to what?"
  • Shows causality or mechanism where relevant
  • Multivariate (not over-reduced)
  • Words, numbers, images integrated — not segregated
  • Reveals multiple levels of detail (micro + macro)
  • Layering: primary data dominates, secondary recedes
  • Appropriate data density
Raw
demo__sunspot-pretty.html
This file has been truncated, but you can view the full file.
<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Tufte-viz · sunspots, austere vs beautiful</title>
<style>
body { font-family: Georgia, serif; max-width: 1700px; margin: 0 auto; padding: 40px 24px; color: #1a202c; line-height: 1.55; background: #fdfdfb; }
h1 { font-size: 22px; margin-bottom: 4px; }
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h2 { font-size: 16px; text-transform: uppercase; letter-spacing: 0.08em; color: #718096; margin-top: 48px; margin-bottom: 8px; font-family: system-ui, sans-serif; }
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.panel { margin-bottom: 16px; }
.post-panel { background:#020310; padding: 24px 0; margin: 16px -24px; }
.post-panel svg { display:block; margin: 0 auto; width: min(96vw, 1600px); height: auto; }
.shift { background: #f7fafc; border-left: 3px solid #1a202c; padding: 14px 18px; margin-top: 24px; font-size: 14px; max-width:1100px; }
.shift b { font-family: system-ui, sans-serif; }
.shift ul { margin: 8px 0 0 0; padding-left: 20px; }
.shift li { margin-bottom: 4px; }
.punchline { background:#1a202c; color:#f7fafc; padding:14px 18px; margin-top:24px; font-size:14px; max-width: 1100px; }
</style>
</head>
<body>
<h1>Sunspot area by solar latitude, 1874–2013 — austere vs. beautiful</h1>
<div class="sub">Same dataset, same analytical content. Must Tufte-fidelity look clinical?</div>
<h2>Pre — Tufte-austere</h2>
<div class="panel">
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<line x1="77" y1="308.3" x2="80" y2="308.3" stroke="#1a202c" stroke-width="0.6"/><text x="74" y="311.3" text-anchor="end" font-size="10" fill="#4a5568">-40°</text><line x1="77" y1="246.4" x2="80" y2="246.4" stroke="#1a202c" stroke-width="0.6"/><text x="74" y="249.4" text-anchor="end" font-size="10" fill="#4a5568">-20°</text><line x1="77" y1="176.0" x2="80" y2="176.0" stroke="#1a202c" stroke-width="0.6"/><text x="74" y="179.0" text-anchor="end" font-size="10" fill="#4a5568">+0°</text><line x1="77" y1="105.6" x2="80" y2="105.6" stroke="#1a202c" stroke-width="0.6"/><text x="74" y="108.6" text-anchor="end" font-size="10" fill="#4a5568">+20°</text><line x1="77" y1="43.7" x2="80" y2="43.7" stroke="#1a202c" stroke-width="0.6"/><text x="74" y="46.7" text-anchor="end" font-size="10" fill="#4a5568">+40°</text>
<text x="118.2" y="331" text-anchor="middle" font-size="10" fill="#4a5568">1880</text><text x="252.8" y="331" text-anchor="middle" font-size="10" fill="#4a5568">1900</text><text x="387.5" y="331" text-anchor="middle" font-size="10" fill="#4a5568">1920</text><text x="522.1" y="331" text-anchor="middle" font-size="10" fill="#4a5568">1940</text><text x="656.7" y="331" text-anchor="middle" font-size="10" fill="#4a5568">1960</text><text x="791.4" y="331" text-anchor="middle" font-size="10" fill="#4a5568">1980</text><text x="926.0" y="331" text-anchor="middle" font-size="10" fill="#4a5568">2000</text>
<text x="20" y="176.0" text-anchor="middle" font-size="11" fill="#4a5568" transform="rotate(-90 20 176.0)">Heliographic latitude</text>
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</div>
<div class="caption">The canonical Maunder butterfly diagram: each darker pixel marks where sunspots appeared. Monochrome on white, no chrome, full data density. Honest, dense, complete — and emotionally inert.</div>
<h2>Post — Tufte-fidelity at full beauty</h2>
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<text x="100" y="62" font-size="34" fill="#e4eef8" font-family="Iowan Old Style, Georgia, serif" letter-spacing="1.5">A Century &amp; a Half of Sunspots</text>
<text x="100" y="86" font-size="12" fill="#8aa6c4" font-family="Iowan Old Style, Georgia, serif" letter-spacing="2" font-style="italic">Sunspot area by solar latitude, 1874–2013 · downshifted UV rendering · ridges rise from each 2° band; peaks mark maximum activity</text>
<text x="100" y="80" font-size="10" fill="#8aa6c4" letter-spacing="0.5">solar cycle no.</text>
<text x="146.9" y="112" text-anchor="middle" font-size="11" fill="#8aa6c4" font-style="italic" letter-spacing="0.5">12</text><text x="257.2" y="112" text-anchor="middle" font-size="11" fill="#8aa6c4" font-style="italic" letter-spacing="0.5">13</text><text x="377.5" y="112" text-anchor="middle" font-size="11" fill="#8aa6c4" font-style="italic" letter-spacing="0.5">14</text><text x="487.8" y="112" text-anchor="middle" font-size="11" fill="#8aa6c4" font-style="italic" letter-spacing="0.5">15</text><text x="588.0" y="112" text-anchor="middle" font-size="11" fill="#8aa6c4" font-style="italic" letter-spacing="0.5">16</text><text x="688.3" y="112" text-anchor="middle" font-size="11" fill="#8aa6c4" font-style="italic" letter-spacing="0.5">17</text><text x="798.6" y="112" text-anchor="middle" font-size="11" fill="#8aa6c4" font-style="italic" letter-spacing="0.5">18</text><text x="898.8" y="112" text-anchor="middle" font-size="11" fill="#8aa6c4" font-style="italic" letter-spacing="0.5">19</text><text x="999.1" y="112" text-anchor="middle" font-size="11" fill="#8aa6c4" font-style="italic" letter-spacing="0.5">20</text><text x="1119.4" y="112" text-anchor="middle" font-size="11" fill="#8aa6c4" font-style="italic" letter-spacing="0.5">21</text><text x="1219.6" y="112" text-anchor="middle" font-size="11" fill="#8aa6c4" font-style="italic" letter-spacing="0.5">22</text><text x="1319.9" y="112" text-anchor="middle" font-size="11" fill="#8aa6c4" font-style="italic" letter-spacing="0.5">23</text><text x="1440.2" y="112" text-anchor="middle" font-size="11" fill="#8aa6c4" font-style="italic" letter-spacing="0.5">24</text>
<text x="938.9" y="138" text-anchor="middle" font-size="10" fill="#e0f4ff" letter-spacing="1" font-style="italic">strongest cycle observed</text>
<text x="86" y="773.0" text-anchor="end" font-size="10" fill="#6a8aa8" letter-spacing="0.5">-40°</text><text x="86" y="696.8" text-anchor="end" font-size="10" fill="#6a8aa8" letter-spacing="0.5">-30°</text><text x="86" y="620.5" text-anchor="end" font-size="10" fill="#6a8aa8" letter-spacing="0.5">-20°</text><text x="86" y="544.2" text-anchor="end" font-size="10" fill="#6a8aa8" letter-spacing="0.5">-10°</text><text x="86" y="391.8" text-anchor="end" font-size="10" fill="#6a8aa8" letter-spacing="0.5">+10°</text><text x="86" y="315.5" text-anchor="end" font-size="10" fill="#6a8aa8" letter-spacing="0.5">+20°</text><text x="86" y="239.2" text-anchor="end" font-size="10" fill="#6a8aa8" letter-spacing="0.5">+30°</text><text x="86" y="163.0" text-anchor="end" font-size="10" fill="#6a8aa8" letter-spacing="0.5">+40°</text>
<line x1="100" y1="465.0" x2="1500" y2="465.0" stroke="#1c2840" stroke-width="0.5" opacity="0.7"/>
<text x="86" y="468.0" text-anchor="end" font-size="9" fill="#506a85" letter-spacing="1" font-style="italic">equator</text>
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TeamDman commented May 24, 2026

Thank you for sharing!

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