Code Interpreter Data Analysis
GPT-4o's Code Interpreter runs Python in a sandboxed environment, so it can actually execute analysis code and return real results. Specifying the exact charts and analysis steps prevents generic exploratory output and gets you to insights faster.
I'm uploading a {{fileType}} file containing {{dataDescription}}. Perform the following analysis: 1. **Data quality check:** Missing values, outliers, data type issues, duplicate rows 2. **Summary statistics:** Key metrics with distributions for numeric columns 3. **Analysis:** {{specificAnalysis}} 4. **Visualization:** Create {{chartCount}} charts that best tell the story of this data: {{chartDescriptions}} Use Python with pandas and matplotlib/seaborn. Show your code and explain each step. At the end, provide 3 key insights and 2 recommended next steps for further analysis.
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Why this prompt works
GPT-4o's Code Interpreter runs Python in a sandboxed environment, so it can actually execute analysis code and return real results. Specifying the exact charts and analysis steps prevents generic exploratory output and gets you to insights faster.
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