Creating Infographic Data Summaries
by WesleySmits
Converts data, research, and articles into infographic-ready summaries with visual hierarchy and chart suggestions. Use when the user asks about infographics, data visualization, visual summaries, chart types, or statistics presentation.
Skill Details
Repository Files
1 file in this skill directory
name: creating-infographic-data-summaries description: Converts data, research, and articles into infographic-ready summaries with visual hierarchy and chart suggestions. Use when the user asks about infographics, data visualization, visual summaries, chart types, or statistics presentation.
Infographic Data Summarizer
When to use this skill
- User asks to create infographic content
- User needs data visualization summaries
- User wants statistics formatted visually
- User mentions chart or graph selection
- User needs research distilled for visuals
Workflow
- Extract key data points
- Identify main insight
- Structure visual hierarchy
- Suggest chart types
- Write supporting copy
- Create design brief
Instructions
Step 1: Data Source Analysis
Data source types:
| Source | Extraction Approach |
|---|---|
| Research report | Key findings, statistics, conclusions |
| Survey results | Top responses, percentages, trends |
| Article/blog | Statistics cited, main claims |
| Dataset (CSV) | Summarize, find outliers, trends |
| Case study | Before/after metrics, results |
| Industry report | Market size, growth, forecasts |
Data extraction template:
## Data Extraction: [Source Title]
**Source:** [URL or document name]
**Date published:** [Date]
**Credibility:** [High/Medium/Low]
### Raw Data Points
| Statistic | Value | Context |
| --------- | -------- | ------------------ |
| [Metric] | [Number] | [What it measures] |
| [Metric] | [Number] | [What it measures] |
| [Metric] | [Number] | [What it measures] |
### Key Findings
1. [Finding with specific number]
2. [Finding with specific number]
3. [Finding with specific number]
### Quotable Stat
"[Most compelling statistic in sentence form]"
Step 2: Data Prioritization
Statistic selection criteria:
| Criteria | Priority |
|---|---|
| Surprising or counterintuitive | High |
| Large percentage or growth | High |
| Directly relevant to audience | High |
| Comparison/contrast | Medium |
| Supporting detail | Low |
| Common knowledge | Skip |
Priority matrix:
## Data Priority
### Hero Stat (1)
[The single most compelling/shareable statistic]
### Primary Stats (2-3)
1. [Supporting major insight]
2. [Supporting major insight]
3. [Supporting major insight]
### Secondary Stats (3-5)
1. [Adds context]
2. [Adds context]
3. [Adds context]
### Discard
- [Not compelling enough]
- [Too complex to visualize]
Step 3: Visual Hierarchy Structure
Infographic anatomy:
## Infographic Structure
### Header Section
- **Title:** [Attention-grabbing headline]
- **Subtitle:** [Context or scope]
- **Source logo:** [If featuring research partner]
### Hero Section
- **Big number:** [Hero statistic]
- **Supporting text:** [1-sentence context]
- **Icon/illustration:** [Visual representation]
### Body Sections (3-5)
#### Section 1: [Theme]
- **Subhead:** [Section title]
- **Stat:** [Number or percentage]
- **Visual:** [Chart type or icon]
- **Caption:** [Brief explanation]
#### Section 2: [Theme]
[Repeat format]
#### Section 3: [Theme]
[Repeat format]
### Footer Section
- **Call-to-action:** [What to do next]
- **Source citation:** [Where data came from]
- **Branding:** [Logo, URL, social handles]
Step 4: Chart Type Selection
Chart selection guide:
| Data Type | Best Chart | When to Use |
|---|---|---|
| Parts of whole | Pie/donut | Max 5 segments, percentages |
| Comparison | Bar chart | Comparing categories |
| Ranking | Horizontal bar | Ordered list, top 10 |
| Change over time | Line chart | Trends, time series |
| Relationship | Scatter plot | Correlation between variables |
| Distribution | Histogram | Frequency, ranges |
| Flow/process | Flowchart | Steps, decisions |
| Geographic | Map | Location-based data |
| Proportion | Icon array | X out of Y representation |
| Progress | Progress bar | Completion, goals |
Chart alternatives:
| Instead of | Consider | Why |
|---|---|---|
| Pie chart (6+ slices) | Horizontal bar | Easier to compare |
| 3D charts | 2D flat | More accurate perception |
| Dual-axis line | Two separate charts | Less confusing |
| Dense data table | Highlighted key rows | Scannable |
Visual metaphors:
| Concept | Visual Approach |
|---|---|
| Growth | Upward arrows, stacked bars |
| Speed | Speedometer, racing imagery |
| Money | Coins, bills, dollar signs |
| Time | Clocks, calendars, timelines |
| People | Icon figures, silhouettes |
| Comparison | Side-by-side, vs. graphics |
Step 5: Copy Elements
Headline formulas:
| Formula | Example |
|---|---|
| [Number] + [Noun] + [Action/Result] | "5 Habits That Double Productivity" |
| The State of [Topic] in [Year] | "The State of Remote Work in 2026" |
| [Question]? | "Where Does Your Time Really Go?" |
| [X] vs [Y]: [Comparison] | "Millennials vs Gen Z: Spending Habits" |
| What [Number] [People] Taught Us | "What 1,000 Marketers Taught Us About AI" |
| The [Adjective] Guide to [Topic] | "The Visual Guide to Sleep Science" |
Section headlines:
## Section Headline Patterns
- [Number] + Key Insight: "73% prefer remote work"
- Question format: "Who's adopting AI fastest?"
- Comparison: "Then vs Now"
- Action verb: "How teams are adapting"
- Time-based: "The rise of [trend] since 2020"
Caption writing:
| Element | Max Length | Purpose |
|---|---|---|
| Section head | 5-7 words | Introduce the insight |
| Stat label | 2-4 words | Name what's measured |
| Caption | 10-15 words | Explain significance |
| Source note | N/A | Credit data origin |
Step 6: Infographic Types
Type selection:
| Type | Best For | Structure |
|---|---|---|
| Statistical | Data-heavy research | Hero stat + supporting data |
| Timeline | History, evolution | Chronological events |
| Process | How-to, steps | Sequential flow |
| Comparison | Versus, pros/cons | Two columns |
| Geographic | Regional data | Map-based |
| List | Tips, facts | Numbered or bulleted |
| Anatomical | Breakdown, parts | Labeled diagram |
| Flowchart | Decisions, paths | Branching structure |
Format dimensions:
| Platform | Dimensions | Aspect Ratio |
|---|---|---|
| 1000 x 1500px | 2:3 vertical | |
| Blog/article | 800 x 2000px | Long vertical |
| Social share | 1200 x 1200px | Square |
| Presentation | 1920 x 1080px | 16:9 landscape |
| 8.5 x 11" (300dpi) | Letter vertical |
Step 7: Data Visualization Best Practices
Do's and don'ts:
| Do | Don't |
|---|---|
| Start bar charts at zero | Truncate axes to exaggerate |
| Use consistent colors | Rainbow every section |
| Label directly on chart | Rely only on legends |
| Round numbers (73%, not 72.8%) | Use false precision |
| Show data source | Present unsourced claims |
| Use white space | Crowd every element |
Color usage:
| Purpose | Approach |
|---|---|
| Highlight | Use accent color for key stat |
| Categories | Distinct but harmonious palette |
| Comparison | Two contrasting colors |
| Sequential | Light to dark gradient |
| Positive/negative | Green/red or blue/orange |
Accessibility:
| Requirement | Implementation |
|---|---|
| Color blind safe | Use patterns + colors |
| Text contrast | 4.5:1 minimum ratio |
| Font size | Minimum 12pt for body |
| Alt text | Describe data and insights |
Step 8: Design Brief Template
Brief for designer:
## Infographic Design Brief
### Overview
**Title:** [Infographic title]
**Topic:** [Subject matter]
**Goal:** [What action should viewers take]
**Audience:** [Who this is for]
**Dimensions:** [Size and orientation]
**Brand:** [Style guide or brand to follow]
### Content Hierarchy
#### Header
- Title: "[Headline]"
- Subtitle: "[Subtitle]"
#### Hero Section
- Big number: [XX%]
- Context: "[One-sentence explanation]"
- Visual: [Icon/illustration suggestion]
#### Section 1: [Title]
- Stat: [XX]
- Chart type: [Recommended chart]
- Data: [Values to visualize]
- Caption: "[Explanation]"
#### Section 2: [Title]
[Repeat format]
#### Section 3: [Title]
[Repeat format]
#### Footer
- CTA: "[Action text]"
- CTA link: [URL]
- Source: "[Data source with date]"
- Logo: [Brand logo placement]
### Visual Notes
- Color palette: [Hex codes or brand colors]
- Style: [Modern/playful/corporate/minimal]
- Icons: [Style preference]
- Avoid: [Any restrictions]
### Files Needed
- [ ] Web version (PNG)
- [ ] Social version (1:1)
- [ ] Print version (PDF)
- [ ] Editable source file
Step 9: Social Media Versions
Platform adaptations:
## Social Snippets
### Instagram/LinkedIn (1080x1080)
**Headline:** [Shortened title]
**Hero stat:** [Big number]
**2-3 supporting stats:** [Key points]
**CTA:** "Full infographic in bio" / "See more →"
### Twitter/X (1200x675)
**Headline:** [Shortened title]
**1-2 key stats:** [Most shareable]
**Visual:** Cropped hero section
### Pinterest (1000x1500)
**Use full infographic** or top half with
"Pin for later" messaging
### Stories (1080x1920)
**Split into slides:**
1. Hook/title
2. Hero stat
3. Section 1
4. Section 2
5. CTA
Step 10: Source Citation
Citation format:
## Data Sources
**Primary source:**
[Organization Name], "[Report/Study Title]," [Year].
[URL]
**Additional sources:**
- [Source 2 with link]
- [Source 3 with link]
**Data collection:**
[Brief methodology if relevant]
Citation placement:
| Location | Format |
|---|---|
| Footer | "Source: [Organization], [Year]" |
| Per-stat | Superscript number with footnote |
| Separate panel | "Data sources" section |
Output Format
# Infographic Summary: [Title]
## Overview
**Topic:** [Subject]
**Data sources:** [Count] sources
**Target audience:** [Who]
**Format:** [Type and dimensions]
---
## Headline
**Title:** [Main headline]
**Subtitle:** [Supporting context]
---
## Hero Statistic
**Number:** [XX%]
**Label:** [What it measures]
**Context:** [Why it matters]
**Visual suggestion:** [Chart/icon type]
---
## Supporting Sections
### Section 1: [Theme]
**Stat:** [Number]
**Chart type:** [Recommendation]
**Data points:** [Values]
**Caption:** [Explanation]
### Section 2: [Theme]
[Repeat format]
### Section 3: [Theme]
[Repeat format]
---
## Call-to-Action
**Text:** [CTA copy]
**Link:** [URL]
---
## Sources
[Full citations]
---
## Design Brief
[Complete brief for designer]
---
## Social Adaptations
[Platform-specific versions]
Validation
Before completing:
- Hero stat is compelling and accurate
- All statistics have sources
- Numbers are rounded appropriately
- Chart types match data types
- Visual hierarchy is clear
- Copy is concise (under word limits)
- CTA is included
- Accessibility considered
- Multiple format sizes provided
Error Handling
- No clear data: Ask for specific statistics, survey results, or research to work from.
- Data too complex: Simplify to 3-5 key insights; suggest detailed report for rest.
- No source provided: Request original source; note if data is unverified.
- Conflicting data: Present most recent or most credible source; note discrepancy.
- Data not visual: Recommend list-style infographic or icon-based representation.
Resources
- Canva Infographic Maker - Free design templates
- Piktochart - Infographic creator
- Venngage - Business infographic tool
- Data Wrapper - Chart creation
- Coolors - Color palette generator
Related Skills
Xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Clickhouse Io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Clickhouse Io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Analyzing Financial Statements
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
Data Storytelling
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
Team Composition Analysis
This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity allocation", or requests organizational design and headcount planning for a startup.
Startup Financial Modeling
This skill should be used when the user asks to "create financial projections", "build a financial model", "forecast revenue", "calculate burn rate", "estimate runway", "model cash flow", or requests 3-5 year financial planning for a startup.
Kpi Dashboard Design
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
Dbt Transformation Patterns
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
Startup Metrics Framework
This skill should be used when the user asks about "key startup metrics", "SaaS metrics", "CAC and LTV", "unit economics", "burn multiple", "rule of 40", "marketplace metrics", or requests guidance on tracking and optimizing business performance metrics.
