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Intro to Data Visualisation - Digital Humanitie...

Dave Kelly
January 31, 2023

Intro to Data Visualisation - Digital Humanities Research Group

Introduction to data visualisation by David Kelly, Digital Humanities Manager at the Moore Institute

The first in a series of talks surveying digital approaches to Humanities research.

Co-ordinated by the Moore Institute’s Digital Humanities Research Group (DHRG), with the support of the Moore Institute’s Digital Lab and the Library’s Digital Scholarship and Archives units.

https://mooreinstitute.ie/research-group/digital-humanities/

Dave Kelly

January 31, 2023
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  1. http://giorgialupi.com/bruises-the-data-we-dont-see/ “Clinical records alone hardly capture the impact the illness

    of a child has on a family. This is how we used music and art to understand and communicate the information that was missing.” Bruises — The Data We Don’t See Giorgia Lupi & Kaki King
  2. “As you probably can see, this isn’t by any means

    a scientific representation of data. Still, we believe it paints an accurate sensorial picture of this personal journey.”
  3. University ofGalway.ie Bret Victor (2011) http://worrydream.com/ExplorableExplanations/ An active reader asks

    questions, considers alternatives, questions assumptions, and even questions the trustworthiness of the author. An active reader tries to generalize specific examples, and devise specific examples for generalities. An active reader doesn't passively sponge up information, but uses the author's argument as a springboard for critical thought and deep understanding. Explorable Explanations
  4. Cultural Networks Data from interviews with cultural practitioners: • Demographic

    • Funding • Relationship types • Geographic data Dr. Patrick Collins – Geography @ University of Galway
  5. “Unimaginable Death: Visualizations of COVID-19 Pandemic Milestones”, Supplement to Issue

    2 of Nightingale Journal of the Data Visualisation Society, 2022
  6. “Unimaginable Death: Visualizations of COVID-19 Pandemic Milestones”, Supplement to Issue

    2 of Nightingale Journal of the Data Visualisation Society, 2022
  7. Code-based: A free, open source, powerful tool for working with

    messy data openrefine.org Data Gathering, Cleaning & Preparation Mapping Charting Data Management Design Visualisation
  8. • Limited free / education plans available Code-based: • Map

    design • Data storage • Embed maps carto.com mapbox.com Data Gathering, Cleaning & Preparation Mapping Charting Data Management Design Visualisation
  9. https://timeline.knightlab.com Uses a Google Spreadsheet as a data source https://juxtapose.knightlab.com/

    Data Gathering, Cleaning & Preparation Mapping Charting Data Management Design Visualisation
  10. public.tableau.com/app/discover Also offer free academic licenses for Tableau Desktop for

    students & teachers Data Gathering, Cleaning & Preparation Mapping Charting Data Management Design Visualisation
  11. • Colour Choices Maps: - http://colorbrewer2.org Palette Selection: https://blog.datawrapper.de/colors-for-data-vis-style-guides/ •

    ProPublica's Nerd Guides - https://github.com/propublica/guides • Data Viz Style Guide Collection: http://policyviz.com/style-guides/ Data Gathering, Cleaning & Preparation Mapping Charting Data Management Design Visualisation
  12. “Easily manage all your research outputs and make them available

    in a citable, shareable and discoverable manner” http://www.nature.com/sdata/policies/repositories Data Gathering, Cleaning & Preparation Mapping Charting Data Management Design Visualisation https://libguides.library.nuigalway.ie/researchdatamanagement
  13. • Nightingale – Journal of the Data Visualisation Society: https://nightingaledvs.com/tag/historic-dataviz/

    • The Data Visualisation Catalogue: https://datavizcatalogue.com/ • FT Visual Vocabulary - http://ft.com/vocabulary • Seeing Data: http://seeingdata.org • “How we can find ourselves in data”, Giorgia Lupi (2017) https://www.ted.com/talks/giorgia_lupi_how_we_can_find_ourselves_in_data Useful Resources