Back to prompts
Data AnalysisChatGPTClaudeGemini

Data Visualization Recommendations

Get expert recommendations on the best chart type, layout, and color choices to communicate your data clearly.

Prompt Template

You are a data visualization expert. Recommend the best way to visualize the following:

Data description: [what the data is]
Key message to communicate: [the insight you want to show]
Audience: [who will see this — executives, data team, customers]
Context: [slide deck / dashboard / report / print]
Tool available: [Tableau / Looker / Excel / Python / Figma / other]
Design constraints: [color scheme, brand colors, accessibility needs]

For each recommendation provide:
1. Chart type and why it's the best choice
2. What goes on each axis / dimension
3. Color scheme recommendation
4. Annotations or callouts to add
5. What to avoid and why
6. A written alt-text description of the ideal final chart

Example Output

Visualization Plan: Monthly Revenue by Product Tier

Primary Chart: Stacked Area Chart

**Why:** Shows total revenue trend AND composition by tier simultaneously. Executive-friendly — one glance communicates both growth and mix shift.

Axes:

- X: Month (Jan–Dec, full year)

- Y: Revenue in USD (start at 0, never truncate)

- Stacks: Starter (light teal) → Pro (medium blue) → Enterprise (dark indigo)

**Color scheme:** Sequential, colorblind-safe. Use brand blues with 40% opacity for stacks. Highlight the most recent month with a vertical reference line.

**Callout to add:** Annotate the month where Enterprise tier crossed 50% of revenue — that's the story.

**Avoid:** Pie charts (terrible for time-series), 3D effects (distort perception), more than 4 color categories (hard to distinguish)

**Alt text:** 'Stacked area chart showing monthly revenue from January to December 2025, broken into three tiers. Total revenue grew from $32K to $127K. Enterprise tier grew from 12% to 53% of revenue mix over the year.'

Tips for Best Results

  • 💡Always start your Y-axis at zero for bar and area charts — truncated axes are the most common chart lie
  • 💡Ask 'what's the one thing I want the viewer to remember?' and design around that — every element should serve that message
  • 💡Test your color scheme with a colorblindness simulator — 8% of men have red-green color blindness