mirror of
https://github.com/heygen-com/hyperframes.git
synced 2026-11-06 14:47:29 +00:00
miga-heygenandMiguel Ángel
7b5fdb1ad2
The generated catalog pages rendered the "Source" accordion title as a
JSX expression, `<Accordion title={`name.html`}>`. Mintlify's search
indexer stringifies expression attribute nodes rather than evaluating
them, so every one of the 399 catalog pages surfaced its Source section
in search results as "[object Object]" (visible on the Scroll Feed page,
among others).
The template literal carried no escaping benefit: every title is a
single-segment `name.html` path, and a double-quoted JSX string handles
it directly. Introduce `mdxStringAttribute`, which emits a plain
`name="value"` attribute and escapes `& " < { }` as HTML character
references (MDX decodes references inside quoted attribute values, and
unlike JSON.stringify it does not rely on backslash escapes, which JSX
strings do not honour). Use it for both the Source accordion title and
the preview iframe title, and regenerate the catalog pages.
Regenerated with `npx tsx scripts/generate-catalog-pages.ts`; the only
change across the 399 pages is the one Accordion title line each.
Co-authored-by: Miguel Ángel <miguel.sierra@heygen.com>
511 lines
16 KiB
Plaintext
511 lines
16 KiB
Plaintext
---
|
||
title: "Data Chart"
|
||
description: "Animated bar + line chart with staggered reveal, NYT-style typography, and value labels"
|
||
---
|
||
|
||
import { InstallCommand } from "/snippets/install-command.jsx";
|
||
|
||
## Install
|
||
|
||
<InstallCommand command="npx hyperframes add data-chart" item="data-chart" />
|
||
|
||
That writes one file: `compositions/data-chart.html`.
|
||
|
||
<iframe
|
||
className="w-full aspect-video rounded-xl border-0 bg-zinc-100 dark:bg-zinc-800"
|
||
title="data-chart preview"
|
||
loading="lazy"
|
||
srcDoc={`<!doctype html><html><head><meta charset="utf-8"><style>html,body{margin:0;height:100%;overflow:hidden;background:transparent}hyperframes-player{display:block;width:100%;height:100%}</style><script src="https://cdn.jsdelivr.net/npm/@hyperframes/player@latest/dist/hyperframes-player.global.js"><\/script></head><body><script>fetch("/public/catalog/blocks/data-chart.json").then(function(r){return r.json()}).then(function(d){var p=document.createElement("hyperframes-player");p.setAttribute("srcdoc",d.html);p.setAttribute("controls","");p.setAttribute("autoplay","");p.setAttribute("loop","");p.setAttribute("muted","");p.setAttribute("poster","https://static.heygen.ai/hyperframes-oss/docs/images/catalog/blocks/data-chart.png");document.body.appendChild(p)});<\/script></body></html>`}
|
||
/>
|
||
|
||
## Change the colors
|
||
|
||
Set these CSS variables on the block:
|
||
|
||
- `--bg-color` — Background. Defaults to `#faf9f6`.
|
||
- `--text-color` — Text color. Defaults to `#333333`.
|
||
|
||
## Source
|
||
|
||
<Accordion title="data-chart.html">
|
||
|
||
```html
|
||
<!doctype html>
|
||
<html lang="en">
|
||
<head>
|
||
<meta charset="UTF-8" />
|
||
<meta name="viewport" content="width=1920, height=1080" />
|
||
<title>Data Chart</title>
|
||
<link rel="preconnect" href="https://fonts.googleapis.com" />
|
||
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
|
||
<link
|
||
href="https://fonts.googleapis.com/css2?family=Libre+Baskerville:wght@400;700&family=Libre+Franklin:wght@300;400;600&display=block"
|
||
rel="stylesheet"
|
||
/>
|
||
<script src="https://cdn.jsdelivr.net/npm/gsap@3.14.2/dist/gsap.min.js"></script>
|
||
<style>
|
||
* {
|
||
margin: 0;
|
||
padding: 0;
|
||
box-sizing: border-box;
|
||
}
|
||
html,
|
||
body {
|
||
margin: 0;
|
||
width: 1920px;
|
||
height: 1080px;
|
||
overflow: hidden;
|
||
background-color: #faf9f6;
|
||
}
|
||
</style>
|
||
</head>
|
||
<body>
|
||
<div
|
||
id="data-chart"
|
||
data-composition-id="data-chart"
|
||
data-width="1920"
|
||
data-height="1080"
|
||
data-start="0"
|
||
data-duration="15"
|
||
>
|
||
<div class="chart-container">
|
||
<!-- Header Section -->
|
||
<div class="header">
|
||
<h1 class="headline">Monthly Revenue vs. Conversion Rate</h1>
|
||
<p class="subtitle">Jan–Jun 2024, in thousands</p>
|
||
<div class="key">
|
||
<div class="key-item">
|
||
<div class="key-box revenue-box"></div>
|
||
<span class="key-text">Revenue</span>
|
||
</div>
|
||
<div class="key-item">
|
||
<div class="key-line conversion-line"></div>
|
||
<span class="key-text">Conversion Rate</span>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- SVG Chart Area -->
|
||
<svg class="chart-svg" viewBox="0 0 1600 700" preserveAspectRatio="xMidYMid meet">
|
||
<!-- Gridlines Group -->
|
||
<g class="gridlines"></g>
|
||
|
||
<!-- X-Axis Labels -->
|
||
<g class="x-axis-labels"></g>
|
||
|
||
<!-- Bars Group (Revenue) -->
|
||
<g class="bars-group"></g>
|
||
|
||
<!-- Bar Labels Group -->
|
||
<g class="bar-labels-group"></g>
|
||
|
||
<!-- Line Group (Conversion Rate) -->
|
||
<g class="line-group">
|
||
<path class="conversion-path" fill="none" stroke="#326FA8" stroke-width="1.5" />
|
||
<circle class="line-dot" r="5" fill="#326FA8" style="opacity: 0" />
|
||
</g>
|
||
|
||
<!-- Line Labels Group -->
|
||
<g class="line-labels-group"></g>
|
||
|
||
<!-- Baseline -->
|
||
<line x1="100" y1="600" x2="1500" y2="600" stroke="black" stroke-width="1" />
|
||
</svg>
|
||
|
||
<!-- Source Line -->
|
||
<div class="source">Source: Internal analytics</div>
|
||
</div>
|
||
|
||
<style>
|
||
[data-composition-id="data-chart"] {
|
||
width: 1920px;
|
||
height: 1080px;
|
||
background-color: #faf9f6;
|
||
font-family: "Libre Franklin", sans-serif;
|
||
color: #333;
|
||
display: flex;
|
||
justify-content: center;
|
||
align-items: center;
|
||
overflow: hidden;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .chart-container {
|
||
width: 1600px;
|
||
height: 900px;
|
||
display: flex;
|
||
flex-direction: column;
|
||
position: relative;
|
||
transform: scale(1.15);
|
||
transform-origin: center center;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .header {
|
||
margin-bottom: 40px;
|
||
text-align: left;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .headline {
|
||
font-family: "Libre Baskerville", serif;
|
||
font-size: 42px;
|
||
margin: 0;
|
||
padding: 0;
|
||
clip-path: inset(0 100% 0 0);
|
||
white-space: nowrap;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .subtitle {
|
||
font-size: 16px;
|
||
color: #666;
|
||
margin: 8px 0 16px 0;
|
||
clip-path: inset(0 100% 0 0);
|
||
white-space: nowrap;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .key {
|
||
display: flex;
|
||
gap: 24px;
|
||
opacity: 0;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .key-item {
|
||
display: flex;
|
||
align-items: center;
|
||
gap: 8px;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .key-box {
|
||
width: 10px;
|
||
height: 10px;
|
||
background-color: #5c5c5c;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .key-line {
|
||
width: 16px;
|
||
height: 1.5px;
|
||
background-color: #326fa8;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .key-text {
|
||
font-size: 13px;
|
||
color: #666;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .chart-svg {
|
||
width: 100%;
|
||
height: 600px;
|
||
overflow: visible;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .source {
|
||
position: absolute;
|
||
bottom: 0;
|
||
left: 0;
|
||
font-size: 11px;
|
||
color: #999;
|
||
opacity: 0;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .grid-line {
|
||
stroke: #e8e8e8;
|
||
stroke-width: 0.5px;
|
||
opacity: 0;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .axis-label {
|
||
font-size: 14px;
|
||
fill: #666;
|
||
text-anchor: middle;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .bar {
|
||
fill: #5c5c5c;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .bar-label {
|
||
font-size: 14px;
|
||
fill: #333;
|
||
text-anchor: middle;
|
||
opacity: 0;
|
||
}
|
||
|
||
[data-composition-id="data-chart"] .line-label {
|
||
font-size: 14px;
|
||
fill: #326fa8;
|
||
font-weight: 600;
|
||
text-anchor: middle;
|
||
opacity: 0;
|
||
}
|
||
</style>
|
||
|
||
<script>
|
||
(function () {
|
||
const svg = document.querySelector('[data-composition-id="data-chart"] .chart-svg');
|
||
const tl = gsap.timeline({ paused: true });
|
||
|
||
// Data
|
||
const months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun"];
|
||
const revenueData = [8, 12, 15, 11, 18, 22];
|
||
const conversionData = [2.1, 2.8, 3.2, 2.9, 3.8, 4.2];
|
||
|
||
// Chart Dimensions
|
||
const chartWidth = 1400;
|
||
const chartHeight = 500;
|
||
const startX = 100;
|
||
const startY = 600;
|
||
const barWidth = 80;
|
||
const spacing = (chartWidth - barWidth * months.length) / (months.length + 1);
|
||
|
||
// Scales
|
||
const maxRevenue = 25;
|
||
const maxConversion = 5;
|
||
|
||
const getBarY = (val) => startY - (val / maxRevenue) * chartHeight;
|
||
const getLineY = (val) => startY - (val / maxConversion) * chartHeight;
|
||
const getX = (i) => startX + spacing + i * (barWidth + spacing) + barWidth / 2;
|
||
|
||
// Setup Elements
|
||
const gridGroup = svg.querySelector(".gridlines");
|
||
const xAxisGroup = svg.querySelector(".x-axis-labels");
|
||
const barsGroup = svg.querySelector(".bars-group");
|
||
const barLabelsGroup = svg.querySelector(".bar-labels-group");
|
||
const lineLabelsGroup = svg.querySelector(".line-labels-group");
|
||
const conversionPath = svg.querySelector(".conversion-path");
|
||
const lineDot = svg.querySelector(".line-dot");
|
||
|
||
// Create Gridlines
|
||
for (let i = 1; i <= 5; i++) {
|
||
const y = startY - i * (chartHeight / 5);
|
||
const line = document.createElementNS("http://www.w3.org/2000/svg", "line");
|
||
line.setAttribute("x1", startX);
|
||
line.setAttribute("y1", y);
|
||
line.setAttribute("x2", startX + chartWidth);
|
||
line.setAttribute("y2", y);
|
||
line.setAttribute("class", "grid-line");
|
||
gridGroup.appendChild(line);
|
||
}
|
||
|
||
// Create X-Axis Labels & Bars & Bar Labels
|
||
const linePoints = [];
|
||
months.forEach((month, i) => {
|
||
const x = getX(i);
|
||
|
||
const label = document.createElementNS("http://www.w3.org/2000/svg", "text");
|
||
label.setAttribute("x", x);
|
||
label.setAttribute("y", startY + 30);
|
||
label.setAttribute("class", "axis-label");
|
||
label.textContent = month;
|
||
xAxisGroup.appendChild(label);
|
||
|
||
const barHeight = (revenueData[i] / maxRevenue) * chartHeight;
|
||
const bar = document.createElementNS("http://www.w3.org/2000/svg", "rect");
|
||
bar.setAttribute("x", x - barWidth / 2);
|
||
bar.setAttribute("y", startY);
|
||
bar.setAttribute("width", barWidth);
|
||
bar.setAttribute("height", 0);
|
||
bar.setAttribute("class", "bar");
|
||
barsGroup.appendChild(bar);
|
||
|
||
const barLabel = document.createElementNS("http://www.w3.org/2000/svg", "text");
|
||
barLabel.setAttribute("x", x);
|
||
barLabel.setAttribute("y", getBarY(revenueData[i]) - 10);
|
||
barLabel.setAttribute("class", "bar-label");
|
||
barLabel.textContent = `$${revenueData[i]}K`;
|
||
barLabelsGroup.appendChild(barLabel);
|
||
|
||
linePoints.push(`${x},${getLineY(conversionData[i])}`);
|
||
|
||
const lineLabel = document.createElementNS("http://www.w3.org/2000/svg", "text");
|
||
lineLabel.setAttribute("x", x);
|
||
lineLabel.setAttribute("y", getLineY(conversionData[i]) - 15);
|
||
lineLabel.setAttribute("class", "line-label");
|
||
lineLabel.textContent = `${conversionData[i]}%`;
|
||
lineLabelsGroup.appendChild(lineLabel);
|
||
});
|
||
|
||
// Set Path Data
|
||
conversionPath.setAttribute("d", `M ${linePoints.join(" L ")}`);
|
||
const pathLength = conversionPath.getTotalLength();
|
||
conversionPath.style.strokeDasharray = pathLength;
|
||
conversionPath.style.strokeDashoffset = pathLength;
|
||
|
||
// --- ANIMATION TIMELINE ---
|
||
|
||
tl.to(
|
||
'[data-composition-id="data-chart"] .headline',
|
||
{
|
||
clipPath: "inset(0 0% 0 0)",
|
||
duration: 1.2,
|
||
ease: "power1.inOut",
|
||
},
|
||
0,
|
||
);
|
||
|
||
tl.to(
|
||
'[data-composition-id="data-chart"] .subtitle',
|
||
{
|
||
clipPath: "inset(0 0% 0 0)",
|
||
duration: 1.2,
|
||
ease: "power1.inOut",
|
||
},
|
||
0.2,
|
||
);
|
||
|
||
tl.to(
|
||
'[data-composition-id="data-chart"] .key',
|
||
{
|
||
opacity: 1,
|
||
duration: 0.4,
|
||
ease: "power2.out",
|
||
},
|
||
1.0,
|
||
);
|
||
|
||
tl.to(
|
||
'[data-composition-id="data-chart"] .grid-line',
|
||
{
|
||
opacity: 1,
|
||
duration: 0.5,
|
||
stagger: 0.25,
|
||
ease: "power2.out",
|
||
},
|
||
0.5,
|
||
);
|
||
|
||
// Bars
|
||
const bars = barsGroup.querySelectorAll(".bar");
|
||
const barLabels = barLabelsGroup.querySelectorAll(".bar-label");
|
||
|
||
bars.forEach((bar, i) => {
|
||
const barHeight = (revenueData[i] / maxRevenue) * chartHeight;
|
||
const startTime = 1.5 + i * 0.5;
|
||
|
||
tl.to(
|
||
bar,
|
||
{
|
||
attr: { height: barHeight, y: startY - barHeight },
|
||
duration: 0.8,
|
||
ease: "power2.out",
|
||
},
|
||
startTime,
|
||
);
|
||
|
||
tl.to(
|
||
barLabels[i],
|
||
{
|
||
opacity: 1,
|
||
duration: 0.3,
|
||
ease: "power2.out",
|
||
},
|
||
startTime + 0.8,
|
||
);
|
||
});
|
||
|
||
// Line
|
||
const lastBarStartTime = 1.5 + (months.length - 1) * 0.5;
|
||
const lineStartTime = lastBarStartTime + 0.5;
|
||
|
||
tl.to(
|
||
conversionPath,
|
||
{
|
||
strokeDashoffset: 0,
|
||
duration: 3,
|
||
ease: "none",
|
||
},
|
||
lineStartTime,
|
||
);
|
||
|
||
// Line Dot & Labels
|
||
tl.set(
|
||
lineDot,
|
||
{
|
||
opacity: 1,
|
||
attr: { cx: getX(0), cy: getLineY(conversionData[0]) },
|
||
},
|
||
lineStartTime,
|
||
);
|
||
|
||
const lineLabels = lineLabelsGroup.querySelectorAll(".line-label");
|
||
months.forEach((_, i) => {
|
||
if (i > 0) {
|
||
const x = getX(i);
|
||
const y = getLineY(conversionData[i]);
|
||
tl.to(
|
||
lineDot,
|
||
{
|
||
attr: { cx: x, cy: y },
|
||
duration: 3 / (months.length - 1),
|
||
ease: "none",
|
||
},
|
||
lineStartTime + ((i - 1) / (months.length - 1)) * 3,
|
||
);
|
||
}
|
||
|
||
const labelTime = lineStartTime + (i / (months.length - 1)) * 3 + 0.2;
|
||
|
||
lineLabels[i].textContent = "0.0%";
|
||
|
||
tl.to(
|
||
lineLabels[i],
|
||
{
|
||
opacity: 1,
|
||
duration: 0.1,
|
||
ease: "power2.out",
|
||
},
|
||
labelTime,
|
||
);
|
||
|
||
const dummy = { val: 0 };
|
||
tl.to(
|
||
dummy,
|
||
{
|
||
val: conversionData[i],
|
||
duration: 0.8,
|
||
ease: "power2.out",
|
||
onUpdate: () => {
|
||
lineLabels[i].textContent = dummy.val.toFixed(1) + "%";
|
||
},
|
||
},
|
||
labelTime,
|
||
);
|
||
});
|
||
|
||
// Source Line
|
||
tl.to(
|
||
'[data-composition-id="data-chart"] .source',
|
||
{
|
||
opacity: 1,
|
||
duration: 0.5,
|
||
ease: "power2.out",
|
||
},
|
||
">+0.5",
|
||
);
|
||
|
||
window.__timelines = window.__timelines || {};
|
||
window.__timelines["data-chart"] = tl;
|
||
})();
|
||
</script>
|
||
</div>
|
||
</body>
|
||
</html>
|
||
```
|
||
|
||
</Accordion>
|
||
|
||
## Usage
|
||
|
||
After installing, add the block to your host composition:
|
||
|
||
```html
|
||
<div data-composition-id="data-chart" data-composition-src="compositions/data-chart.html" data-start="0" data-duration="15" data-track-index="1" data-width="1920" data-height="1080"></div>
|
||
```
|
||
|
||
{/* hf:generated-footer */}
|
||
|
||
Tagged `data` `chart` `statistics`.
|
||
|
||
## Related topics
|
||
|
||
- [Browse the complete Catalog](/catalog)
|
||
- [Add assets and Catalog items in Studio](/studio/assets-and-blocks)
|
||
- [Build a richer composition](/go-further)
|