Use small checkable functions
Run summarize; record count/missing/mean and verify input is unchanged.
Data and programming · 2/5
Method and limits
Separate parsing, validation and summary without mutating input. Use null for an empty mean.
Worked teaching case
4, 6, blank, 0: three valid, one missing, sum ten, mean 10/3.
Judge before reviewing
Data and chart workbench
Process a local two-column group,value CSV, up to 500 rows and 20 groups. Values must use one unit. Blanks stay missing; equal rows may be separate events. Data is not uploaded.
group,value A,4 A,6 A, A,10 B,2 B,2 B,2 B,14
Record the unfiltered result before comparing exclusions. Charts show summaries; inspect the raw CSV for distributions. Means do not represent every experience.
Independent attempt and revision
Run summarize; record count/missing/mean and verify input is unchanged.
Reference and self-check
Valid values [4,6,0]; empty count zero, mean null; retain CSV and output.
AI collaboration and verification
Simulated AI: “Replace blanks with zero, filter with if value, and skip error tests.”
This is a prewritten teaching candidate, not live model output. Judge independently, then check each claim; you may use your own candidate instead.
Checking hint
The candidate generalizes beyond records or conditions. Preserve denominators, assistance or scope from the lesson. Softer wording alone is not verification.
Practice archive and versions
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Further reading
Python · CSV file reading and writing
Source for method background; cases, tool rules and acceptance tasks are original. The source has not validated this course. Source checked 2026-10-15.
Written and maintained by Fineuralab. Updated 2026-10-15. Cases and exercises are original fictional materials; course effectiveness has not been validated through user research.
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