VCE Data Analytics U4O1: Data quality and testing visualisations
Students validate and verify data, check integrity from collection to visualisation, proofread, and test that visualisations appear correctly and represent the data.
One content description from the full VCE Data Analytics - U4O1 - Development and Evaluation journey. All 14 modules below are in that journey too, with the same content — add just these to a class, or the whole strand.
Modules (14)
1
Validation: why data is checked on entry
2
Setting spreadsheet data validation rules
3
Existence checking in Python
4
Type checking in Python
5
Range checking in Python
6
Verifying data
7
Proofreading text and labels
8
Integrity
9
Checking end-to-end data integrity from collection to visualisation
10
Data quality: accuracy
11
Visual inspection of a data visualisation
12
Confirming a chart represents the data
13
Spotting misleading charts
14
Testing a formula against a hand-calculated answer
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