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The main difference between qualitative and quantitative data lies in their numerical versus nonnumerical nature and how they are used in research and analysis.
Qualitative data is nonnumerical, focusing on descriptions, observations, and interpretations, while quantitative data is numerical and deals with measurable quantities and values.
Quantitative data can be used in data analytics projects due to its numerical nature, unlike qualitative data which is more subjective and narrative-based in its approach.
For example, if a researcher collects data on customer satisfaction ratings (quantitative) and customer feedback comments (qualitative), they would be analyzing both numerical ratings and descriptive comments to gain a comprehensive understanding of customer experiences.
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