Here are the essential concepts you must grasp in order to answer the question correctly.
Qualitative Data
Qualitative data refers to non-numeric information that describes characteristics or qualities. It is often categorical, meaning it can be divided into groups or categories based on attributes. Examples include names, colors, or zip codes, which provide descriptive insights rather than measurable quantities.
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Quantitative Data
Quantitative data consists of numeric values that can be measured and analyzed statistically. This type of data can be further classified into discrete data, which can take specific values, and continuous data, which can take any value within a range. Examples include height, weight, or sales figures, which allow for mathematical operations.
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Zip Codes as Data
Zip codes are a specific type of qualitative data, as they categorize geographic areas without providing numerical measurements. While they consist of numbers, zip codes serve to identify locations rather than quantify them. Therefore, when analyzing zip codes, one should treat them as labels that represent different regions rather than as numerical data.
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