ChatGPT's Code Interpreter runs real Python in a sandboxed environment to analyze your data, generate visualizations, and produce written summaries — no coding required on your part. Upload a CSV and get a full analytical report in minutes.
Drag and drop or click to upload any supported file format. ChatGPT reads the structure and previews its content automatically.
Ask anything from "what are the top trends?" to "calculate month-over-month growth by region and flag anomalies."
ChatGPT writes and runs Python code internally to process your data with mathematical precision, not approximations.
You receive written insights, downloadable charts, and optionally a processed data file — all in a single response.
Monthly sales performance analysis
Analyze this CSV of monthly sales data. Show top 3 performing regions, month-over-month growth, flag any months where revenue dropped more than 15%, and create a bar chart.
Processing customer feedback
I'm uploading 500 survey responses. Calculate NPS score, identify the top 5 complaint themes, and show satisfaction scores broken down by customer segment.
Budget vs actual analysis
Compare the Budget vs Actual columns in this spreadsheet. Calculate variance percentages, highlight overspent categories in red, and write an executive summary.
If your data has inconsistent formatting or blank rows, ask ChatGPT to "clean and normalize the data first, then analyze it" in the same prompt.
Specify the chart type you need: "bar chart for comparison", "line chart for trends", "scatter plot for correlation" gives better results than letting ChatGPT choose.
Request "show me the Python code you used" — you can copy it for future automation without needing to ask ChatGPT every time.
Upload multiple files and ask ChatGPT to merge or compare them: "join these two CSVs on the customer ID column and analyze the combined result."