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Digital · Guided lesson

Structure clean data

Create a table that formulas, pivots, charts, and other people can trust.

About 27 minutes Finish with a concrete deliverable
Kevin StratvertPivot Table Excel TutorialYouTube
Course primer

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.
Before you begin

What this lesson is really solving.

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.

Why this works

Understand the idea before touching the steps.

One row is one record, one column is one field, and one cell holds one value.

Do this

Follow these steps in order.

Take the action in each step; then use the deliverable below to prove the lesson is finished.

  1. 1

    Define the unit of observation—transaction, person, day, order—before creating columns.

  2. 2

    Use one header row, consistent data types, real dates, unique identifiers, and no merged cells inside the dataset.

  3. 3

    Separate raw imports, cleaned data, calculations, and presentation into clearly named sheets.

  4. 4

    Add data validation for controlled inputs and document units, definitions, owners, and refresh date.

Worked example

See the standard in context.

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.

Quality check

Inspect before you move on.

  • 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.
Make it real

Your deliverable

A tidy source table with data dictionary, validation rules, and refresh timestamp.

Common mistake

Watch for this

Using color, blank rows, and merged headers as data structure that machines cannot interpret reliably.

You’re ready when

Prove it—don’t just recognize it.

You can add a new record without changing formulas or the meaning of any column.

Objective evidence · 3 questions

Quick knowledge check

Answer from the lesson—not from confidence alone. Score at least 2 of 3 to unlock completion.

Not yet passed

This curriculum-aligned check is scored automatically and stored with your account when signed in. It is an objective learning signal, but it has not yet been independently validated as a standardized assessment.

1Which action belongs in the recommended process for “Structure clean data”?
2Which result is the clearest evidence that this lesson’s work is complete?
3Which choice matches the failure this lesson specifically warns against?
0 of 3 answeredEach question measures the action, evidence, or failure condition taught above.
Useful for this course

Tools, templates, and references

Practice workbookLearn from a finished multi-sheet workbook with live formulas.
Check current detailsReferences reviewed September 9, 2026. Lesson exercises are editorial synthesis; official rules come from the linked sources.
Microsoft — Excel help & learningGoogle — Sheets training and help
1
One check remains

Pass the knowledge check above first.

Completion unlocks after a score of 2 out of 3. Then confirm that you produced the lesson deliverable.

Go to the knowledge check