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Section checkpoint · 06

Data Cleaning & Missing Data

Use this short test to check whether the main ideas from the section are connected in your mind. A strong score means you can recognise the concepts; revisit linked lessons when an answer feels uncertain.

5questionsTarget: 4/5 or better

Question 11 point

Which concept is most appropriate for this situation: You need to understand or repair incomplete observations without silently biasing the analysis.

Detect Missing ValuesOutlier ChecksCategory StandardisationDeletion vs Imputation

Question 21 point

Which concept is most appropriate for this situation: You need to understand or repair incomplete observations without silently biasing the analysis.

Detect Missing ValuesOutlier ChecksDuplicatesDeletion vs Imputation

Question 31 point

Which concept is most appropriate for this situation: You need to apply the idea taught in “Forward Fill and Interpolation” and explain how its input is transformed into a valid output.

Deletion vs ImputationForward Fill and InterpolationMean Median and Mode ImputationCategory Standardisation

Question 41 point

Which concept is most appropriate for this situation: You need to identify repeated records that could double-count evidence.

Mean Median and Mode ImputationDuplicatesDeletion vs ImputationForward Fill and Interpolation

Question 51 point

Which concept is most appropriate for this situation: You need to investigate unusually extreme observations before deciding whether they are errors or valid cases.

Detect Missing ValuesDuplicatesMissingness PatternsOutlier Checks