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Lesson 3 of 6
Digital · Guided lesson

Clean and join data

Standardize messy inputs and connect tables without silently losing records.

About 34 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 .

A pivot summarizes what it receives; use the video's field list to notice how dirty categories or duplicated joined rows would silently distort the result.
Before you begin

What this lesson is really solving.

Never overwrite raw data without a reproducible trail. Profile missingness and duplicates, standardize text and dates, choose a stable join key, and test unmatched or multiply matched records. Similar names are not safe identifiers.

Why this works

Understand the idea before touching the steps.

Joins depend on keys; if the key is inconsistent or duplicated, the result inherits the problem.

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

    Profile blanks, duplicates, spaces, case, date formats, number-as-text fields, and impossible values.

  2. 2

    Preserve the raw data and perform cleaning in reproducible helper columns or query steps.

  3. 3

    Create or verify a stable key before using XLOOKUP, INDEX/MATCH, or a query merge.

  4. 4

    Count rows and unmatched keys before and after the join to detect lost or multiplied records.

Worked example

See the standard in context.

A customer table joins to orders by Customer ID, not company name. The analyst trims stray spaces, preserves leading zeros, flags three order IDs with no customer match, and catches one duplicated customer key that would otherwise double revenue.

Quality check

Inspect before you move on.

  • Raw input remains unchanged and refreshable.
  • Unmatched, duplicate, and many-to-many join results are counted.
  • Row counts and totals are reconciled before and after transformation.
Make it real

Your deliverable

A repeatable cleaning log and reconciliation table for a two-source join.

Common mistake

Watch for this

Using names as unique identifiers when spelling, spacing, or duplicate people can change the match.

You’re ready when

Prove it—don’t just recognize it.

You can report exactly how many records matched, did not match, or duplicated—and why.

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 “Clean and join 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
3
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