DA0-002 Data Concepts and Environments Practice Question
A retail analyst needs to determine the most popular product category. The dataset includes columns: ProductID, Category, SalesDate, QuantitySold, UnitPrice. Which column contains qualitative data?
⚠ Common exam trap
The trap here is that candidates often mistake dates (SalesDate) for qualitative data because they are not numeric, but dates are actually quantitative interval data with a meaningful order and equal intervals.
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
✓
Category
Qualitative data (also called categorical data) represents non-numeric categories or labels. The 'Category' column contains text values such as 'Electronics' or 'Clothing', which are descriptive and cannot be used in arithmetic operations. This makes it the only qualitative column in the dataset.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
SalesDate
Why it's wrong here
SalesDate is a temporal value, not qualitative data. It tempts because dates are frequently stored as strings, yet the column represents a point in time used for trend analysis, whereas qualitative data describes attributes such as Category that cannot be meaningfully averaged.
- ✗
QuantitySold
Why it's wrong here
QuantitySold is a discrete numeric measure, so it is quantitative rather than qualitative. It tempts because counts are sometimes treated as labels, but the column supports summation and averaging, while qualitative data captures non-numeric descriptive attributes like Category.
- ✗
UnitPrice
Why it's wrong here
UnitPrice holds continuous numeric values, so it is quantitative, not qualitative. It tempts because prices are often stored as text fields in source systems, but the stem's question concerns data type, and UnitPrice supports arithmetic aggregation rather than category grouping.
- ✓
Category
Why this is correct
Category holds qualitative data because it labels products into named groups rather than measuring amounts. ProductID, SalesDate, QuantitySold and UnitPrice are all quantitative or temporal, so they cannot satisfy the stem's requirement for a qualitative column. Category's non-numeric, descriptive values are precisely what the analyst needs to group and rank popularity.
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