Create a column-by-column Excel data cleaning plan

작성자: AILesson8 분 소요테스트::ChatGPT검토일: 2026-08-28

빠른 답변

Inspect field meanings and define reversible cleaning rules before changing data. 제공할 내용: Dataset purpose, Columns and intended meanings, Representative rows and known issues. 예상 결과: A prioritized cleaning plan, validation rules, and audit columns.

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Dataset purposeColumns and intended meaningsRepresentative rows and known issues

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Design a reversible Excel data-cleaning plan.

Dataset purpose:
[purpose]

Columns and intended meanings:
[schema]

Representative rows and known issues:
[sample]

Do not edit or discard values yet. Profile each column for type, blanks, uniqueness, allowed values, formatting, and cross-field consistency. Separate harmless presentation differences from changes that alter meaning. Return:
1. Blocking questions and assumptions
2. Column-by-column issue table with evidence
3. Cleaning rule, validation rule, and exception handling for each issue
4. Recommended helper/audit columns
5. Safe execution order with a preserved raw copy
6. Before/after tests and a rollback method

Never infer missing identities, categories, dates, or business facts from appearance alone.

Playground에서 사용해 보기

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입력에서 결과까지

적용 예시

구체적인 맥락이 이 레시피를 바로 사용할 수 있는 결과로 바꾸는 방법을 확인하세요

실제 입력

Dataset purpose: Prepare a customer export for CRM import and regional sales counts. The CRM requires a unique Customer ID, a valid email or blank, ISO country codes, and an ISO signup date.
Columns and intended meanings: CustomerID required unique text; Email optional; Country required ISO alpha-2; SignupDate required date; Status one of Active, Paused, Closed.
Representative rows and known issues: C-001 | ANA@EXAMPLE.COM | United Kingdom | 3/4/26 | active; C-002 | blank | UK | 2026-04-03 | Paused; C-002 | ana2@example.com | GB | 04/03/2026 | Active; C-004 | bad-address | U.K. | blank | closed.

예시 출력

Blocking questions

Confirm the source locale for 3/4/26 and 04/03/2026, the authoritative record for duplicate C-002, and whether a missing signup date blocks import. These cannot be inferred safely.

Column	Evidence	Cleaning rule	Validation / exception
CustomerID	C-002 repeats	Trim only; do not merge	COUNTIF must equal 1; route duplicates to review
Email	uppercase, blank, malformed	Trim and lowercase; preserve blank	Basic structural check; flag bad-address
Country	United Kingdom, UK, GB, U.K.	Map confirmed aliases to GB	Reject unmapped values
SignupDate	ISO plus ambiguous numeric text	Preserve ISO; convert only after locale confirmation	Flag ambiguous and blank values
Status	case variation	Map case-insensitively to approved labels	Reject other values

Create RawValue, CleanValue, RuleApplied, and ReviewReason columns or a separate audit sheet. Duplicate the source sheet as Raw_ReadOnly, record row count and a checksum of CustomerID values, then clean helper columns in the order: keys → required fields → dates → controlled labels → optional fields. Import only rows with no ReviewReason. Reconcile final row count, unique key count, rejected rows, and each mapping total to the raw copy. Roll back by discarding the clean sheet; never overwrite Raw_ReadOnly.

효과가 있는 이유

1
Profiling before mutation prevents cosmetic cleanup from changing business meaning.
2
Raw copies and audit columns make every transformation reviewable and reversible.

결과 확인

Is every cleaning rule tied to a stated field meaning or allowed value?
Can exceptional rows be reviewed without being overwritten?
Can the cleaned result be reconciled to the raw row count and keys?

안심하고 사용하세요

자주 묻는 질문

이 레시피를 언제 사용해야 하는지, 무엇을 제공해야 하는지, 그리고 어떤 부분에서 사람의 검토가 여전히 중요한지에 대한 실용적인 답변

What should I prepare before using “Create a column-by-column Excel data cleaning plan”?

For “Create a column-by-column Excel data cleaning plan,” prepare Dataset purpose, Columns and intended meanings, and Representative rows and known issues. Replace placeholders only with information you can verify. If a detail is unknown, preserve that uncertainty explicitly instead of asking the model to infer it.

When is the “Create a column-by-column Excel data cleaning plan” result not ready to use?

The result is not ready if it does not yet deliver the stated outcome—A prioritized cleaning plan, validation rules, and audit columns—from the supplied evidence, or if it relies on unresolved assumptions, missing approvals, or invented details. Use the checks as release gates: revise the source inputs or assign a named, authorized reviewer instead of polishing an unsupported output.

Which AI tools have recorded tests for “Create a column-by-column Excel data cleaning plan”?

The published test record for “Create a column-by-column Excel data cleaning plan” lists ChatGPT as of 2026-08-28. This confirms recorded runs, not guaranteed compatibility or identical results in later product versions. For another tool or version, keep every constraint visible and repeat the result checks before use.

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