DA0-002 Qualitative data Practice Question
Exhibit
Refer to the exhibit.
{
"fields": [
{"name": "customer_id", "type": "integer"},
{"name": "age", "type": "integer"},
{"name": "income", "type": "float"},
{"name": "education", "type": "string"}
]
}The exhibit shows a JSON schema for a dataset. Which statement correctly describes the data types represented?
⚠ Common exam trap
The trap is that candidates assume numeric fields like age and income are quantitative, but in this context they are treated as qualitative categories. Customer_id is a nominal identifier, not a number to be averaged.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
All fields are qualitative
All fields in the dataset are qualitative (categorical or nominal). customer_id is a unique identifier (nominal), education is a categorical variable, age is often grouped into categories (ordinal), and income is typically treated as ordinal when bucketed into ranges. Despite being stored as numbers, age and income are not used for arithmetic in typical data analysis, making them qualitative.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
All fields are qualitative
Why this is correct
Correct. All fields are qualitative: customer_id (nominal), education (ordinal), age and income (treated as ordinal categories).
- ✗
age and income are continuous; customer_id and education are discrete
Why it's wrong here
Incorrect. It classifies customer_id and education as discrete quantitative, but customer_id is nominal and education is qualitative.
- ✗
customer_id and age are discrete quantitative; income is continuous quantitative; education is qualitative
Why it's wrong here
Incorrect. It misclassifies customer_id as discrete quantitative; customer_id is a nominal identifier.
- ✗
All fields are quantitative
Why it's wrong here
Incorrect. Not all fields are quantitative; customer_id and education are qualitative.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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