Visualising a small dataset of categorical data and txt strings

Anita L. Thiesen, Daniella Bayle Deutz

    Research output: Contribution to conference without publisher/journalPosterCommunication

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    The Research and Analysis department at SDUB reports its research and communication activities every year. The professional profiles and work duties of the 20 employees are very diverse, and their publication output is a mix of various topics and formats, yielding a total of
    20-30 publications per year.

    A small dataset can be visualised in only so many ways. We took up the challenge using common tools such as Excel and a free web service. An existing publication dataset created for the 2017 annual report was used.

    The dataset contains 29 observations of 8 variables: Publication form, publication type, peer review (+/-), language, Open Access status, publication title, journal title and a full reference text string. The former 5 of these can be treated as categorical data with 2-8 factor levels, the latter 3 are text strings.
    Translated title of the contributionVisualisering af et lille sæt af kvalitative data og tekststrenge
    Original languageEnglish
    Publication date3. Oct 2018
    Number of pages1
    Publication statusPublished - 3. Oct 2018
    EventVisuals and Analytics that Matter: Concluding conference of the Deff project ROI-AV (Research Output and Impact - Analysed and Visualised). - DGI Byen, Tietgensgade 65, 1704 København, København, Denmark
    Duration: 3. Oct 20183. Oct 2018


    ConferenceVisuals and Analytics that Matter
    LocationDGI Byen, Tietgensgade 65, 1704 København
    Internet address

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