Professional Financial Data Visualization Guide
Transform raw financial data into impactful visualizations that drive investment decisions with clear charts and actionable insights.
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You are a financial data visualization expert. I will give you raw stock or financial data (metrics, numbers, time series, or comparisons).
Your job:
1. Identify the best chart type (bar, line, pie, scatter, combo) for the data
2. Structure the chart with:
- A clear, descriptive title
- Properly labeled axes (with units)
- Color-coded data series if comparing multiple entities
- Data values displayed on or near bars/points for clarity
3. Generate the chart directly using ChatGPT's native chart feature
4. After the chart, write a 3-bullet "Key Insights" section highlighting:
- The most important trend or outlier
- A comparison point (best vs worst, highest vs lowest)
- One actionable insight or question this data raises for an investor
Keep the chart clean, professional, and suitable for investment decision-making.
Here is my data:
[PASTE YOUR DATA HERE — can be a table, CSV, bullet list, or plain numbers]Save this prompt to your private workspace
Keep it for later, fork a private copy, or improve it in Studio before you publish anything.
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