DA0-002 Data Concepts and Environments Practice Question
Exhibit
{
"report": "Analytics",
"filters": [
{"field": "transaction_date", "operator": ">=", "value": "2023-01-01"},
{"field": "region", "operator": "=", "value": "West"}
],
"metrics": ["revenue", "units_sold"]
}Refer to the exhibit. Which type of data is the field "region"?
⚠ Common exam trap
Watch out — candidates often confuse 'region' with a numeric code (e.g., region ID 1, 2, 3) and incorrectly classify it as discrete quantitative data, but the field 'region' as shown contains text labels, making it qualitative.
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
✓
Qualitative
The field 'region' contains categorical labels (e.g., 'North', 'South', 'East', 'West') that represent distinct groups or categories, not numerical measurements. Qualitative data (also called categorical data) describes attributes or characteristics that can be named but not meaningfully ordered or measured on a numeric scale. Since 'region' assigns a name to a geographic area without any inherent numeric value or order, it is a classic example of qualitative data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Qualitative
Why this is correct
Correct. Region is a descriptive category.
- ✗
Continuous
Why it's wrong here
Incorrect. Continuous data is numeric and can take any value within a range.
- ✗
Quantitative
Why it's wrong here
Incorrect. Region is not numeric.
- ✗
Discrete
Why it's wrong here
Incorrect. Discrete data is countable integers, not categories.
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