Data Storytelling Atlas
Data Storytelling Atlas is a fictional OPF example for data storytelling teams. It demonstrates a realistic presentation structure with catalog-backed design and content payloads.
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Metadata
Source JSON
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"name": "Data Storytelling Atlas",
"description": "Data Storytelling Atlas is a fictional OPF example for data storytelling teams. It demonstrates a realistic presentation structure with catalog-backed design and content payloads.",
"filename": "data-storytelling-atlas",
"language": "en-CA",
"audience": [
"board",
{
"id": "executive",
"attentionBudgetMinutes": 26,
"technicalFluency": "high",
"decisionPower": "decision-maker",
"recommendedNarratives": [
"business-review"
],
"recommendedTones": [
"authoritative"
]
}
],
"purpose": {
"id": "sell",
"outcome": "Show regional patterns with maps, charts, and concise interpretation",
"successCriteria": [
"The audience can state the decision in one sentence.",
"The owner and next checkpoint are explicit."
]
},
"tone": {
"id": "authoritative",
"voiceCues": [
"Make the decision visible.",
"Use concrete operating language."
],
"avoid": [
"Do not bury the ask.",
"Do not over-explain obvious context."
]
},
"narrative": "data-storytelling-atlas-arc",
"design": {
"theme": "classic",
"colorScheme": {
"id": "black-and-white",
"primary": "#8C4107",
"secondary": "#AB1036",
"accent": "#6B27D5",
"background": "#FFFFFF",
"text": "#0F172A",
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"light2": "#F8FAFC"
},
"fontScheme": {
"id": "consolas",
"heading": "Aptos Display",
"body": "Aptos",
"code": "Consolas"
},
"dimensions": "4:3",
"background": "#F8FAFC",
"titleAlignment": "right",
"contentAlignment": "left",
"contentBox": false,
"contentDirection": "horizontal",
"chartPrimary": "top",
"imageFit": "cover",
"listBullet": "character",
"watermark": {
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"opacity": 0.06
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"header": {
"left": {
"text": "{{slide.section}}"
},
"right": {
"image": "asset:brand-icon"
}
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"footer": {
"left": {
"text": "{{organization.name}}"
},
"center": {
"text": "Internal planning draft"
},
"right": {
"text": "{{slide.number}}"
}
}
},
"slides": [
{
"id": "s1",
"section": "Opening",
"layout": "cover",
"tag": "Data storytelling",
"title": "Data Storytelling Atlas",
"subtitle": "Civic Data Lab Data storytelling",
"notes": "Open by naming the decision: Show regional patterns with maps, charts, and concise interpretation."
},
{
"id": "s2",
"section": "Context",
"layout": "text",
"title": "Why This Matters",
"text": [
"Civic Data Lab should focus the next cycle on ",
{
"text": "show regional patterns with maps, charts, and concise interpretation",
"bold": true,
"color": "#8C4107"
},
" while making the operating tradeoffs clear to data storytelling stakeholders."
]
},
{
"id": "s3",
"section": "Evidence",
"layout": "chart",
"title": "Signal Trend",
"type": "chart",
"chart": {
"type": "radar-with-markers",
"data": {
"columns": [
"Quarter",
"Current",
"Baseline"
],
"rows": [
[
"Q1",
25,
22
],
[
"Q2",
29,
24
],
[
"Q3",
32,
26
],
[
"Q4",
36,
28
]
]
}
}
},
{
"id": "s4",
"section": "Options",
"layout": "table-beside",
"title": "Decision Options",
"table": {
"columns": [
"Workstream",
"Owner",
"Status",
"Decision"
],
"rows": [
[
"Data storytelling",
"Program lead",
"At risk",
"Continue"
],
[
"Data and reporting",
"Analytics",
"On track",
"Tighten metric definitions"
],
[
"Field adoption",
"Operations",
"Watch",
"Add weekly office hours"
]
]
}
},
{
"id": "s5",
"section": "Plan",
"layout": "timeline",
"title": "Execution Timeline",
"type": "timeline",
"timeline": {
"name": "Data storytelling execution path",
"description": "Major milestones for Civic Data Lab.",
"events": [
{
"when": "Jul",
"what": "Baseline",
"description": "Confirm current state, owners, and constraints."
},
{
"when": "Aug",
"what": "Pilot",
"description": "Run a narrow pilot with visible success criteria."
},
{
"when": "Sep",
"what": "Scale",
"description": "Expand the approach after risk review."
},
{
"when": "Oct",
"what": "Embed",
"description": "Move reporting and routines into steady-state operations."
}
]
}
},
{
"id": "s99-regions",
"section": "Operating model",
"title": "Operating Model",
"top:left": {
"metric": {
"value": "11 days",
"label": "Primary signal",
"description": "Show regional patterns with maps, charts, and concise interpretation",
"trend": "down"
}
},
"top:center+right": {
"text": [
"Civic Data Lab should focus the next cycle on ",
{
"text": "show regional patterns with maps, charts, and concise interpretation",
"bold": true,
"color": "#8C4107"
},
" while making the operating tradeoffs clear to data storytelling stakeholders."
]
},
"middle+bottom:left": {
"quote": {
"text": "The path is workable if we keep the metric simple and the decision owner visible.",
"attribution": "Data storytelling working group",
"source": "Stakeholder interview"
}
},
"middle+bottom:center+right": {
"table": {
"columns": [
"Workstream",
"Owner",
"Status",
"Decision"
],
"rows": [
[
"Data storytelling",
"Program lead",
"At risk",
"Continue"
],
[
"Data and reporting",
"Analytics",
"On track",
"Tighten metric definitions"
],
[
"Field adoption",
"Operations",
"Watch",
"Add weekly office hours"
]
]
}
},
"notes": "Use this slide to slow the conversation down around ownership and operating rhythm."
},
{
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"section": "Evidence",
"layout": "dashboard",
"title": "Evidence Pack",
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{
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"data": {
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"Quarter",
"Current",
"Baseline"
],
"rows": [
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"Q1",
17,
14
],
[
"Q2",
21,
16
],
[
"Q3",
24,
18
],
[
"Q4",
28,
20
]
]
}
}
},
{
"quote": {
"text": "Teams already know where the friction is; the deck makes the sequence of choices explicit.",
"attribution": "Program sponsor",
"source": "Planning interview"
}
},
{
"metric": {
"value": 91,
"unit": "%",
"delta": "+6 pts",
"trend": "up",
"label": "Illustrative result"
}
}
]
},
{
"id": "s99-image",
"section": "Context",
"layout": "image",
"title": "Field Context",
"type": "image",
"image": {
"src": "asset:supporting-photo",
"alt": "Data storytelling context photo for Civic Data Lab",
"title": "Data storytelling context"
},
"notes": "Use the image as context, not decoration."
},
{
"id": "s99-code",
"section": "Appendix",
"layout": "code",
"title": "Decision Rule",
"code": {
"source": "const score = urgency * confidence;\nif (score >= threshold) {\n routeToSponsor(workstream);\n} else {\n keepInWeeklyReview(workstream);\n}",
"language": "ts",
"filename": "data-storytelling-atlas-rule.ts"
},
"hidden": false
},
{
"id": "s10",
"section": "Close",
"layout": "list",
"title": "Decision and Follow Through",
"items": [
[
"Commit to ",
{
"text": "show regional patterns with maps, charts, and concise interpretation",
"bold": true
}
],
{
"text": "Name the sponsor and operating owner.",
"description": "Keep one person accountable for momentum."
},
{
"text": "Publish the progress rhythm.",
"description": "Use the same metric definitions every week."
},
{
"text": "Return with proof.",
"description": "Bring customer, employee, resident, or learner evidence into the next review."
}
]
}
],
"organization": [
{
"id": "civic-data-lab",
"name": "Civic Data Lab",
"logo": "asset:brand-logo",
"domain": "civic-data-lab.example",
"email": "hello@civic-data-lab.example",
"tagline": "Show regional patterns with maps, charts, and concise interpretation",
"role": "primary",
"socials": {
"x": "@civic-data-lab"
}
},
{
"id": "civic-data-lab-partner",
"name": "Data Storytelling Partner Office",
"role": "partner",
"domain": "partner-civic-data-lab.example"
}
],
"speaker": {
"id": "speaker",
"name": "Samira Okafor",
"title": "Chief of Staff",
"organizationId": "civic-data-lab",
"bio": "Leads data storytelling planning for Civic Data Lab.",
"socials": {
"x": "@civic-data-lab-speaker"
}
},
"author": "OPF Example Generator",
"takeaway": "Show regional patterns with maps, charts, and concise interpretation",
"duration": 31,
"tags": [
"design-and-media",
"data-storytelling",
"sell",
"authoritative",
"dense"
],
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",
"alt": "Data storytelling background image",
"mediaType": "image/png",
"description": "Original abstract demonstration artwork for this fictional organization. MIT licensed with OpenPresentation/opf; generated by scripts/gallery-artwork.mjs (v2). No fonts or external images are used."
},
"supporting-photo": {
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"alt": "Data storytelling field context",
"mediaType": "image/png",
"description": "Original abstract demonstration artwork for this fictional organization. MIT licensed with OpenPresentation/opf; generated by scripts/gallery-artwork.mjs (v2). No fonts or external images are used."
},
"demo-video": {
"src": "./media/civic-data-lab-demo.mp4",
"title": "Data storytelling walkthrough",
"mediaType": "video/mp4"
},
"metric-data": {
"src": "./data/data-storytelling-atlas.csv",
"mediaType": "text/csv",
"title": "Data Storytelling Atlas data"
},
"watermark": {
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"alt": "Civic Data Lab watermark",
"mediaType": "image/png",
"description": "Original abstract demonstration artwork for this fictional organization. MIT licensed with OpenPresentation/opf; generated by scripts/gallery-artwork.mjs (v2). No fonts or external images are used."
}
},
"extensions": {
"example": {
"folder": "design-and-media",
"density": "dense",
"scenario": "data-storytelling-atlas",
"generatedBy": "scripts/generate-example-suite.mjs"
}
},
"catalogs": {
"custom": {
"narratives": {
"data-storytelling-atlas-arc": {
"name": "Data Storytelling Decision Arc",
"summary": "A custom arc for Civic Data Lab.",
"description": "Data Storytelling Atlas uses a compact evidence-to-decision arc for Civic Data Lab.",
"beats": [
{
"id": "context",
"name": "Context",
"type": "text",
"layout": "text"
},
{
"id": "evidence",
"name": "Evidence",
"type": "chart",
"layout": "chart"
},
{
"id": "decision",
"name": "Decision",
"type": "list",
"layout": "list"
}
]
}
},
"themes": {
"civic-data-lab-theme": {
"name": "Civic Data Lab Working Theme",
"colorScheme": "black-and-white",
"fontScheme": "consolas",
"background": {
"type": "theme",
"slot": "light2"
},
"tags": [
"data-storytelling",
"example"
]
}
},
"colorSchemes": {
"civic-data-lab-signal": {
"name": "Civic Data Lab Signal Palette",
"accent1": "#B45309",
"accent2": "#BE123C",
"accent3": "#6D28D9",
"accent4": "#0369A1",
"accent5": "#334155",
"accent6": "#F8FAFC",
"dark1": "#0F172A",
"dark2": "#334155",
"light1": "#FFFFFF",
"light2": "#F8FAFC",
"hyperlink": "#2563EB",
"followedHyperlink": "#7C3AED"
}
}
},
"default": {
"source": "https://www.pptx.gallery",
"audiences": {
"board": {
"name": "Board of Directors",
"summary": "Directors with fiduciary responsibility who balance oversight, advice, and approval.",
"description": "The board is governance-first. They want a complete picture: financial health, key metrics, functional updates, risks, and forward-looking topics. Surface bad news honestly — under-disclosure erodes trust faster than the problems themselves. Bring specific asks that turn the meeting into a working session rather than a recital.",
"seniority": "c-suite",
"technicalFluency": "medium",
"decisionPower": "decision-maker",
"attentionBudgetMinutes": 90,
"recommendedNarratives": [
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"qbr",
"scqa",
"strategic-advisory",
"pyramid-principle",
"situation-complication-resolution"
],
"recommendedTones": [
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"authoritative"
],
"tags": [
"governance",
"oversight",
"leadership"
]
},
"executive": {
"name": "Executive",
"summary": "C-suite and senior leadership focused on strategic decisions, ROI, and big-picture outcomes. Highly time-constrained.",
"description": "C-suite and senior leaders deciding on strategy, ROI, and big-picture outcomes with very little time. Lead with the conclusion and keep to one insight per slide; set the key numbers in bold type and use as few bullet points as possible. Keep chart density low and the deck to 10-15 slides at most.",
"seniority": "c-suite",
"technicalFluency": "medium",
"decisionPower": "decision-maker",
"attentionBudgetMinutes": 30,
"recommendedNarratives": [
"pyramid-principle",
"situation-complication-resolution"
],
"recommendedTones": [
"formal",
"authoritative",
"persuasive"
],
"tags": [
"leadership",
"decision-making"
]
}
},
"purposes": {
"sell": {
"name": "Sell",
"summary": "Move a buyer or evaluator toward purchase, adoption, renewal, or expansion.",
"description": "Use for customer-facing decks where the goal is commercial movement. Focus on pain, value, proof, differentiation, and the next buying step.",
"outcome": "The buyer advances to the next step in the commercial process.",
"successCriteria": [
"Customer pain is named clearly",
"Value is tied to customer outcomes",
"Next commercial step is clear"
],
"recommendedNarratives": [
"persuasive-sales",
"problem-solution",
"challenge-resolution"
],
"recommendedTones": [
"persuasive",
"conversational"
],
"tags": [
"sales",
"customer",
"commercial"
]
}
},
"tones": {
"authoritative": {
"name": "Authoritative",
"summary": "Expert, declarative voice for category-defining and analyst-style decks.",
"description": "Adopt the perspective of someone who's seen the full landscape and is willing to call it. Use plain declaratives — strong claims with the receipts to back them. Step back from internal-only context and frame in terms the wider industry would recognize.",
"voiceCues": [
"Use declarative sentences; trust the reader to follow.",
"Frame in industry-wide terms, not company-internal language.",
"Cite outside sources — analysts, benchmarks, public peers.",
"Take a position; avoid 'on the other hand' symmetry without a verdict."
],
"avoid": [
"Hedging ('we believe', 'in our view') unless deliberately contrasting.",
"Internal jargon and unexplained acronyms.",
"First-person plural overload — speak for the work, not the team.",
"Tentative phrasing that softens strong claims."
],
"samplePhrases": [
"Agent latency is the bottleneck of the next AI cycle.",
"Three categories will absorb 80% of enterprise budget; we're built for the second.",
"The benchmarks are public; the gap holds across every comparable workload."
],
"recommendedNarratives": [
"strategic-narrative",
"pitch-deck",
"conference-talk",
"marketing-strategy"
],
"tags": [
"industry",
"category",
"analyst"
]
}
},
"themes": {
"classic": {
"name": "Classic",
"background": {
"type": "theme",
"slot": "light1"
},
"colorScheme": "cool-horizon",
"description": "A timeless, clean, and versatile theme with balanced color contrasts and classic typography. Ideal for professional, readable presentations.",
"fontScheme": "tenorite",
"dimensions": "widescreen",
"variants": [
{
"id": "light",
"name": "Light",
"variant": "light1"
},
{
"id": "light-alt",
"name": "Light alt",
"variant": {
"background": "light1",
"accents": [
"accent6",
"accent5",
"accent4",
"accent1",
"accent3",
"accent2"
]
}
},
{
"id": "dark",
"name": "Dark",
"variant": "dark1"
},
{
"id": "dark-alt",
"name": "Dark alt",
"variant": {
"background": "dark1",
"accents": [
"accent6",
"accent5",
"accent4",
"accent1",
"accent3",
"accent2"
]
}
}
]
}
},
"colorSchemes": {
"black-and-white": {
"name": "Black & White",
"accent1": "#9E9E9E",
"accent2": "#424242",
"accent3": "#616161",
"accent4": "#757575",
"accent5": "#9E9E9E",
"accent6": "#212121",
"dark1": "#000000",
"dark2": "#000000",
"followedHyperlink": "#424242",
"hyperlink": "#212121",
"light1": "#FFFFFF",
"light2": "#FFFFFF",
"summary": "Strict monochrome contrast for formal, document-style decks.",
"description": "A pure black-and-white scheme for decks that need maximum restraint, print compatibility, and crisp information hierarchy.",
"tags": [
"minimal",
"formal",
"neutral",
"high-contrast",
"restrained"
]
},
"cool-horizon": {
"name": "Cool Horizon",
"accent1": "#2874A6",
"accent2": "#1B4F72",
"accent3": "#5499C7",
"accent4": "#7BDBB2",
"accent5": "#3AC67A",
"accent6": "#24A89E",
"dark1": "#000000",
"dark2": "#011842",
"followedHyperlink": "#551A8B",
"hyperlink": "#0000EE",
"light1": "#FFFFFF",
"light2": "#F0F0F0",
"summary": "Cool blue-green palette tuned for professional business decks.",
"description": "A balanced cool-toned scheme with deep navy, business blues, and teal accents. It works well across strategy, finance, and technical narratives.",
"tags": [
"professional",
"trustworthy",
"calm",
"technical",
"versatile"
]
}
},
"fontSchemes": {
"consolas": {
"name": "Consolas",
"app": "powerpoint",
"languageFamily": "latin",
"languages": [],
"major": "Consolas",
"minor": "Consolas",
"code": "Consolas",
"textSample": "Code block view",
"type": "monospace",
"description": "Consolas is a monospace OPF font scheme for Latin presentations, using Consolas for both headings and body text."
},
"tenorite": {
"name": "Tenorite",
"app": "powerpoint",
"languageFamily": "latin",
"languages": [],
"major": "Tenorite Display",
"minor": "Tenorite",
"textSample": "Rounded modern tone",
"type": "sans-serif",
"description": "Tenorite is a sans serif OPF font scheme for Latin presentations, using Tenorite Display for headings with Tenorite for body text."
}
},
"layouts": {
"cover": {
"name": "Cover",
"summary": "The opening slide: title, subtitle and an optional picture.",
"tags": [
"Openers and closers"
],
"design": {
"titleAlignment": "center",
"contentAlignment": "center"
},
"direction": "row",
"regions": [
{
"name": "title"
},
{
"name": "media",
"accepts": [
"image",
"video"
],
"role": "media",
"flow": "none",
"bleed": true
}
],
"description": "Open a presentation with its subject and a short introduction. Add a picture when it helps establish the context.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/cover.svg"
}
},
"text": {
"name": "Text",
"summary": "Prose. Several blocks sit side by side when short and stack when long.",
"tags": [
"Text"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"name": "body",
"accepts": [
"text",
"list",
"quote",
"code",
"group"
],
"role": "primary",
"flow": "auto"
}
],
"description": "Explain one idea in continuous prose. Use paragraphs or flowing blocks for detail that needs to be read in sequence.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/text.svg"
}
},
"chart": {
"name": "Chart",
"summary": "One to six charts, with an optional note.",
"tags": [
"Visuals"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"name": "charts",
"accepts": [
"chart",
"group"
],
"role": "primary",
"flow": "grid"
},
{
"name": "note",
"size": "auto",
"accepts": [
"text"
],
"role": "supporting",
"flow": "none"
}
],
"description": "Give a chart enough space to show its evidence. Use the title to state the conclusion and labels to explain the measures.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/chart.svg"
}
},
"table-beside": {
"name": "Table beside",
"summary": "A table with commentary beside it.",
"tags": [
"Visuals"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"direction": "row",
"regions": [
{
"name": "table",
"size": 3,
"accepts": [
"table"
],
"role": "primary",
"flow": "none"
},
{
"name": "notes",
"size": 2,
"accepts": [
"text",
"list",
"metric",
"quote"
],
"role": "supporting",
"flow": "column"
}
]
}
],
"description": "Place a table beside its interpretation. Use the supporting text to explain the conclusion without repeating every cell.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/table-beside.svg"
}
},
"timeline": {
"name": "Timeline",
"summary": "Dated events or a roadmap along one axis, with optional notes.",
"tags": [
"Groups of items"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"name": "timeline",
"accepts": [
"timeline"
],
"role": "primary",
"flow": "none"
},
{
"name": "notes",
"size": "auto",
"accepts": [
"text",
"list",
"metric"
],
"role": "supporting",
"flow": "auto"
}
],
"description": "Show events or milestones in chronological order. Label each item with a date or stage and a concise description.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/timeline.svg"
}
},
"dashboard": {
"name": "Dashboard",
"summary": "Headline numbers over charts.",
"tags": [
"Mixed"
],
"design": {
"contentBox": false
},
"direction": "column",
"regions": [
{
"name": "title"
},
{
"name": "kpis",
"size": 2,
"accepts": [
"metric"
],
"role": "secondary",
"flow": "grid"
},
{
"name": "charts",
"size": 3,
"accepts": [
"chart",
"table"
],
"role": "primary",
"flow": "grid"
}
],
"description": "Bring several related measures and visuals into one overview. Keep labels and units consistent so the audience can scan the state quickly.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/dashboard.svg"
}
},
"image": {
"name": "Image",
"summary": "One picture, shown whole, under an optional title.",
"tags": [
"Visuals"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"name": "media",
"accepts": [
"image",
"video"
],
"role": "media",
"flow": "none",
"bleed": true
}
],
"description": "Let one picture carry the message, shown whole at its own proportions rather than cropped. Add a short title or caption to explain what the audience should notice. For a full-bleed crop, set the image block's fit to cover.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/image.svg"
},
"design": {
"imageFit": "contain"
}
},
"code": {
"name": "Code",
"summary": "Source code with the explanation beside it.",
"tags": [
"Visuals"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"direction": "row",
"regions": [
{
"name": "code",
"size": 3,
"accepts": [
"code"
],
"role": "primary",
"flow": "column"
},
{
"name": "notes",
"size": 2,
"accepts": [
"text",
"list"
],
"role": "supporting",
"flow": "column"
}
]
}
],
"description": "Show a code example or technical excerpt. Keep the excerpt focused and use the title or caption to explain its purpose.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/code.svg"
}
},
"list": {
"name": "List",
"summary": "Bulleted or numbered points; one long list flows into columns.",
"tags": [
"Text"
],
"direction": "column",
"regions": [
{
"name": "title"
},
{
"name": "body",
"accepts": [
"list",
"text",
"group"
],
"role": "primary",
"flow": "auto",
"listColumns": "auto"
}
],
"description": "Present several related points in a clear sequence. Use bullets for independent points or numbered items for an ordered list.",
"preview": {
"vectorSrc": "https://www.pptx.gallery/layout-previews/list.svg"
}
}
}
}
}
}