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AI-generated data

Create sample data using AI — great for prototyping, placeholder content, or modeling ideas.
You can generate data in two ways, depending on what you're looking for.


🔍 1. Search the web for real data

Describe the dataset you want, and Graphy will try to find it from public sources.

Examples:

  • “Top 10 countries by smartphone usage in 2024”

  • “Monthly inflation rates in the US from 2020 to 2023”

  • “Carbon emissions by industry sector (latest available)”

📎 We’ll try to retrieve data from reputable sources and structure it for charting.

⚠️ Data sourced this way is static and may be incomplete — always check for accuracy before using in formal reports.


✨ 2. Generate example or forecasted data

Describe the structure or trend you want, and Graphy will create a sample dataset from scratch.
This is perfect for placeholder charts, forecasting, design reviews, or working ahead of real data availability.

📝 Prompt ideas to try:

  • “Sales from Jan to Dec with 10% monthly growth”

  • “Marketing spend by channel for 2023”

  • “Simulate app installs by region for Q1 2024”

  • “Show churn rate by customer cohort”

  • “Forecast revenue for 2024–2026 with 15% YoY growth”

  • “Average order value by customer segment”

💡 You can edit the generated data once it’s created — perfect for refining your story or visual.


🧩 When to use AI-generated data

  • You need example data for a mockup or deck

  • You're building a chart before real data is ready

  • You want to model future outcomes or trends

  • You're testing Graphy with no dataset on hand