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Data and programming: integrated task

Deliver independent work with new material, compare the reference and retain revisions and acceptance evidence. Data and programming

Data and programming · 5/5

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

CSV: group A contains 0,6,blank; B contains 3,9. Deliver code, tests, raw CSV and output; test quoted group names and invalid values.

Reference and self-check

A: count2/missing1/mean3; B: count2/missing0/mean6; overall count4/missing1/mean4.5. Reject invalid values and preserve input.

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.

Full AI verification workflow and practice

Practice archive and versions

Save an independent attempt before a revision, up to 50 versions. This archive contains this page’s inputs in this language. Files can be restored to the same page and language; there is no automatic synchronization or backup of other legacy lessons.

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.

Editorial standards · Feedback and corrections

Download and run

data-summary.py · sample.csv · README

python3 data-summary.py --test
python3 data-summary.py sample.csv

Requires local Python 3.10+, no external dependencies. Python does not execute in the browser.

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