Structure clean data
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The idea in everyday life
Build one header row, one field per column, one record per row, and one type per field. Do not encode meaning through fill color, merged cells, blank spacer rows, or repeated subtotals inside source data. Preserve original values before cleaning.
One row is one record, one column is one field, and one cell holds one value.
One step at a time.
Use the sample or information you have permission to use. Keep your work as you go. You can pause between steps.
- 1
Decide what one row represents, such as a transaction, person, day, or order. This is the unit of observation. Then choose the columns.
- 2
Use one header row, consistent data types, real dates, unique identifiers, and no merged cells inside the dataset.
- 3
Separate raw imports, cleaned data, calculations, and presentation into clearly named sheets.
- 4
Add data validation for controlled inputs and document units, definitions, owners, and refresh date.
See how it works.
A sales sheet becomes Order ID, Order Date, Customer ID, Region, Product, Units, Unit Price, and Status. Currency symbols are display formatting, dates are real date values, and each order line has its own row. A separate data dictionary defines status codes.
Did you cover these?
- Headers are unique, stable, and understandable.
- Dates and numbers behave as dates and numbers, not look-alike text.
- A unique key or documented compound key identifies records.
What to finish
A tidy source table with data dictionary, validation rules, and refresh timestamp.
Watch for this
Using color, blank rows, and merged headers as data structure that machines cannot interpret reliably.
How can I tell I understand it?
You can add a new record without changing formulas or the meaning of any column.
Quick knowledge check
Answer all 3 questions. Get at least 2 right and the lesson completes automatically.
You’ll get an explanation for each answer. Signed in? Your results save to your account.
Repair a six-row application tracker
This import has six rows: five application records and one total. It contains three problems. Use the confirmation log and status dictionary to repair the working copy, then check your table.
All employers, roles, dates, confirmation references, and outcomes in this practice case are fictional. This optional exercise stays on this page; it does not change account progress.
Source evidence and status dictionary
Use these unchanged source records to verify row identities. Do not create a new ID just to silence a duplicate warning. The source export dictionary defines Intvw as Interview.
- CFM-472 → APP-001 · Aster Community Centre, Front desk assistant
- CFM-519 → APP-002 · Pinebridge Library, Library assistant
- CFM-526 → APP-003 · Pinebridge Library, Events assistant
- CFM-608 → APP-004 · Maple Workshop, Office assistant
- CFM-731 → APP-005 · Harbor Learning Hub, Reception assistant
Allowed statuses: Applied, Interview, Offer, Closed. Keep both Pinebridge roles; they are separate applications.
| Source / application | Application ID | Status | Count | Table placement |
|---|---|---|---|---|
| Aster Community Centre Front desk assistant CFM-472 · 2026-08-03 | 1 | |||
| Pinebridge Library Library assistant CFM-519 · 2026-08-04 | 1 | |||
| Pinebridge Library Events assistant CFM-526 · 2026-08-04 | 1 | |||
| Maple Workshop Office assistant CFM-608 · 2026-08-05 | 1 | |||
| Harbor Learning Hub Reception assistant CFM-731 · 2026-08-06 | 1 | |||
| Total applications Derived summary, no confirmation | 5 |
Current source: 6 rows · Count-column sum: 10. Expected: five applications counted once.
Pass the check. We’ll save the progress.
Answer all 3 questions above and get at least 2 right. You can review the explanations and try again.
Go to the knowledge checkOptional course overview video
Pivot Table Excel Tutorial
From Kevin Stratvert. Watch here or open it on YouTube .
Before following the pivot-table video, inspect why a rectangular source table is required for fields to group and aggregate correctly.Tools, templates, and lesson sources
Tools and templates
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Sources and further reading
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