data•6 prompts

Data Visualization Prompts

The right visualization makes data instantly understandable. These prompts help you choose and design charts that communicate clearly.

1. Chart Type Selection

Best: Claude

I want to show [what you're communicating]. My data: [describe data structure]. Audience: [who]. Help me choose the right chart type. Explain why it works better than alternatives and what to watch out for.

Chart type depends on your message. Comparison? Trend? Distribution? Relationship?

2. Dashboard Design

Best: Claude

Design a dashboard for [purpose/audience]. Key metrics to include: [list]. Help me: prioritize metrics, suggest layout, choose appropriate visualizations for each, and identify what's missing.

Dashboards should answer key questions at a glance. Less is more.

3. Chart Critique

Best: Claude

Critique this visualization: [describe or paste image]. What works? What doesn't? Does it accurately represent the data? Is it easy to understand? Suggest specific improvements.

Bad charts mislead. Check that your visualization doesn't distort the truth.

4. Color Scheme

Best: Claude

Recommend a color scheme for a [dashboard/report] showing [type of data]. Consider: accessibility (colorblind-friendly), professional appearance, and meaning (red=bad, green=good if appropriate). Provide hex codes.

8% of men are colorblind. Use color plus another encoding (pattern, label).

5. Visualization Code

Best: ChatGPT

Write [Python matplotlib/plotly/D3.js/etc.] code to create a [chart type] showing [data description]. Include: labels, legend, title, and styling. Make it presentation-ready, not just functional.

Code Interpreter can generate and show charts directly. Very useful for iteration.

6. Small Multiples

Best: Claude

Help me design a small multiples visualization for [data with multiple categories]. How should I: arrange the panels, keep scales consistent, and highlight patterns across panels? What comparisons does this enable?

Small multiples reveal patterns across categories. Keep everything consistent.

Try These Prompts with Multiple AIs

Get responses from Claude, ChatGPT, Gemini, and more—all at once. Compare which AI handles these prompts best.

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data•6 prompts

Data Visualization Prompts

The right visualization makes data instantly understandable. These prompts help you choose and design charts that communicate clearly.

1. Chart Type Selection

Best: Claude

Chart type depends on your message. Comparison? Trend? Distribution? Relationship?

2. Dashboard Design

Best: Claude

Design a dashboard for [purpose/audience]. Key metrics to include: [list]. Help me: prioritize metrics, suggest layout, choose appropriate visualizations for each, and identify what's missing.

Dashboards should answer key questions at a glance. Less is more.

3. Chart Critique

Best: Claude

Critique this visualization: [describe or paste image]. What works? What doesn't? Does it accurately represent the data? Is it easy to understand? Suggest specific improvements.

Bad charts mislead. Check that your visualization doesn't distort the truth.

4. Color Scheme

Best: Claude

8% of men are colorblind. Use color plus another encoding (pattern, label).

5. Visualization Code

Best: ChatGPT

Write [Python matplotlib/plotly/D3.js/etc.] code to create a [chart type] showing [data description]. Include: labels, legend, title, and styling. Make it presentation-ready, not just functional.

Code Interpreter can generate and show charts directly. Very useful for iteration.

6. Small Multiples

Best: Claude

Small multiples reveal patterns across categories. Keep everything consistent.

Try These Prompts with Multiple AIs

Get responses from Claude, ChatGPT, Gemini, and more—all at once. Compare which AI handles these prompts best.

Try Council Free