- The difference between qualitative and quantitative data is as follows1234:
- Quantitative data refers to numerical data that can be counted or measured.
- Qualitative data is descriptive and relates to things that can be observed but not measured.
- Quantitative data is fixed or universal, while qualitative data is subjective.
Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.Quantitative data is anything that can be counted or measured; it refers to numerical data. Qualitative data is descriptive, referring to things that can be observed but not measured—such as colors or emotions.careerfoundry.com/en/blog/data-analytics/differenc…Qualitative data is descriptive information about characteristics that are difficult to define or measure or cannot be expressed numerically. Quantitative data is numerical information that can be measured or counted.sciencenotes.org/qualitative-quantitative-data-defin…Quantitative data is numbers-based, countable, or measurable. Qualitative data is interpretation-based, descriptive, and relating to language. Quantitative data tells us how many, how much, or how often in calculations. Qualitative data can help us to understand why, how, or what happened behind certain behaviors.www.fullstory.com/blog/qualitative-vs-quantitative-…Quantitative data can be counted, measured, and expressed using numerical values. Qualitative data is descriptive and conceptual. Qualitative data can be categorized based on traits and characteristics. The key difference is that quantitative data is fixed or universal, whereas qualitative data is subjective.www.g2.com/articles/qualitative-vs-quantitative-data - People also ask
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