Module 03 · Week 3 · Individual mission
Find Data Quality Problems Before Fixing Them
Diagnose the quality problem before changing the data.
- 1BriefingCurrent
- 2Worked exampleNext
- 3Case boardNext
- 4CheckpointsNext
- 5ReflectionNext
- 6CompleteNext
Start here
Briefing
A clean-looking table can still contain missing, duplicated, or inconsistent records.
Your job is to diagnose the problem, choose a defensible cleaning rule, and verify that the rule did not hide information.
Your answers and progress are kept only while this page remains open. Refreshing or closing the page resets them. Your answers are not stored on this device or sent to a server.
Game economy
Build Momentum without risking XP
You begin with 3 Momentum. Any held points return when you solve that checkpoint. Momentum never falls below zero and never changes assessment marks. Complete the mission to open one transparent reward draw.
What you will practise
- Recommend a cleaning action that matches a stated data quality problem.SLO3
- Evaluate a cleaning process by comparing the original, rule, and result.SLO5
- Explain why an analyst should not silently guess a missing or conflicting value.SLO5
3 terms for this mission
- Completeness
- Whether required values are present.
- Consistency
- Whether the same rule or format is used across records.
- Data cleansing
- A documented process for finding, correcting, or flagging data quality problems.
All businesses, people, and data in this mission are fictional.