Data would consist of measurements associated with the roots. For example, the length of roots produced by each plant, or the number of ‘shoots’ branching from each root are two different sets of quantitative data. Quantitative data is usually defined as numerical information, generated or collected through measurements conducted by humans or mediated through devices Alternatively, the information collected in the first example—that people in a given group have different hair texture that can be described and grouped by category—is what we usually call qualitative data. Qualitative data is observable or measurable information that is not (typically) numerical in nature.
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The same study, written to appear in Popular Science, would need to explain why it matters that carbon and nitrogen differently influence plant root length and structure. The researcher might, for example, hypothesize that overuse of synthetic, nitrogen-based fertilizers on agricultural plants, such as carrots, could reduce the size or density of the crop yield. A conventional farming audience, or an audience interested in sustainable farming might differently interpret this representation of the research differently than the scientific audience reading the scientific article covering the same research and data. The difference lies in the purpose for which the writer is interpreting the data and how she must represent what is at issue, given the conventions and expectations of the genre of scientific article, versus popular news coverage of scientific research.
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I had the chance to try the famous Mariscos Jalisco taco truck. But the real highlight wasn’t the crispy bite of the legendary taco it was watching a young boy savor his, completely immersed in the experience.
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