Semi structured data example

    • [DOC File]Introduction - Cornell University

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      Jan 15, 2019 · Semi-structured – data with some format or hierarchy. For example, spreadsheets can contain data that is very structured and easily adaptable to a DBMS but it can also contain data that is not. Semi-structured data can also be defined using XML or CSV (comma separated values) files.

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    • Structured Data vs. Semi Structured Data - Tealium Learning Com…

      Example - Semi-structured observation guide. Course: [Module no and title] Student Cohort: [Cohort identifier, academic year] ... This guide includes a number of examples of observational data that may be relevant to obtain at different stages of introducing a change in learning and teaching in order to compare it with participant feedback ...

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    • [DOC File]Example- Semi-structured observation guide

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      Semi-structured interviews, or some form of qualitative data collection, are an important complement to traditional monitoring systems that often focuses on the collection and management of quantifiable tracking information.

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    • [DOCX File]Semi-structured interview

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      Section 2 XML as Semi Structured Data. Some people see XML as something of a solved problem. If you view XML solely as semi-structured data then you can simply apply the considerable research done on semi-structured data [Abi97, Bun97, PGMW95] to processing XML. An excellent example of this approach is LORE.

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    • [DOCX File]Microsoft Excel - Kansas State University

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      So for example, asking participants to prioritize their preferences for some aspect of care, and that could be done in a little bit more structured fashion, which helps to generate a nice concrete body of data from a focus group. Also, in semi-structured interviews, you may want to include some ranking or rating questions such that you are ...

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    • [DOCX File]Florida State College at Jacksonville

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      semi-structured . or . un-structured data . are textual documents, imagery, videos, audio files, mixed-modal files, and others, because these have more subtle types of structuring…not the explicit data table structures of classic quantitative data.] Excel can handle both structured and unstructured data. Data types

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