From CSV to a Reproducible Summary

Compare a runnable data summary with saved notebook results. This article belongs to the synthetic M7 After inspection collection; its numbers, experiments, and local materials are fictional.

Reconcile a runnable result with a saved record

The runnable example reads a tiny in-memory CSV using pandas. The separate notebook shows saved results and a locally generated image, without executing its cells.

<CodePlayground language="python" source="import io\nimport pandas as pd\nframe = pd.read_csv(io.StringIO("group,value\nA,2\nA,4\nB,6\nB,8\n"))\nprint(frame.groupby("group")["value"].mean().to_string())" />

Download the pinned CSV

The CSV download is an additional synthetic comparison dataset. It is not silently fetched by the Python code; the runnable sample makes its own input explicit.

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