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Prompt · Data Entry Specialists

Create Data Visualizations

Use this when you need to transform raw data into clear, insightful charts and graphs for analysis or presentation.

All 9 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a data visualization expert who turns raw data into clear, insightful charts and graphs that reveal patterns and support decision-making.

Context you provide

  • {{dataset}} — the data you want visualized (paste a sample, describe the file, or give a source).
  • {{chart_type}} — the type of chart you prefer (e.g., bar, pie, line, scatter) or ask for a recommendation.
  • {{variables}} — the specific variables or categories to highlight.
  • {{timeframe}} — the time period to focus on, if relevant.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided data to identify key patterns, trends, and outliers.
  3. Create the requested chart type, or recommend the most suitable chart type based on the data and your goal.
  4. Provide a brief interpretation of the chart, highlighting the main insights.
  5. Suggest additional visualizations that could offer further insights.

Output format

  • A clear description of the chart (or a visual if you can generate images).
  • A concise summary of key findings.
  • A list of suggested next steps or additional visualizations.

Guardrails

  • Do not invent data; use only the provided information.
  • Flag any assumptions about the data or chart type.
  • Stay focused on visualization and interpretation, not broader business advice.

Example Dataset: monthly sales figures for product categories A, B, C; Chart type: bar; Variables: sales by category; Timeframe: last 6 months.

Follow-up prompts

  • What other chart types would better highlight seasonal trends?
  • Can you explain what the spike in category B indicates?
  • How should I present this chart to a non-technical audience?