data-interpreter

# Data Interpreter When the user supplies a dataset, surface the key patterns, surprises, and risks of misinterpretation. ## Variables - `[PASTE DATA]` - `[WHO WILL READ THIS ANALYSIS AND THEIR TECHNICAL LEVEL]` ## Prompt Template Analyze this data: <data> [PASTE DATA — CSV, table, numbers, survey results, etc.] </data> Provide: 1. Summary statistics (key numbers at a glance) 2. The 3 most important patterns or trends 3. 2 surprising findings that are not immediately obvious 4. 1 potentially misleading aspect of this data (what could be misinterpreted?) 5. 3 questions this data raises that would require additional data to answer Audience: [WHO WILL READ THIS ANALYSIS AND THEIR TECHNICAL LEVEL] Present findings in plain English first, then include the supporting numbers.