Data quality: relevance
Data that relates directly to the question or purpose it is used for. Unneeded fields or data from the wrong population are not relevant, so they lower the quality of the information.
Understanding Data quality: relevance in VCE Data Analysis
What it does: The question is about Year 11 students, but the data comes from Year 7 students, so it does not relate directly to the purpose. Only the fields needed to answer the question are kept, so the information is relevant and focused. Irrelevant data makes information less useful, so it lowers the quality of the information. Hair colour has nothing to do with library loans, so it is an unneeded field. LoanDate is relevant to when books are borrowed. This is the core definition of relevance as a data quality characteristic: the data fits the question being asked. Extra unneeded fields add clutter and lower the quality of the information because they do not relate to the purpose.
Common mistakes: The goal is the Year 10 maths average, so the field averaged must be MathsMark. ShoeSize is not relevant to the question. It should be SELECT AVG(MathsMark). The goal is about Year 10, but this line keeps Year 7 students. That is the wrong population, so the data is not relevant. It should be KEEP rows WHERE Year = 10.
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This module's key terms are also in a printable crossword (Modules 25–37) and word search (Modules 25–54).
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Quick Questions
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Key Term
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