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/

Transcript

1. University
   ofGalway.ie
   Intro to Data
   Visualisation
   David Kelly
   January, 2023
   Digital Humanities Manager
   Moore Institute
   

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2. University
   ofGalway.ie
   What are we
   talking about?
   

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3. …the graphical
   representation of
   information and data.
   Tableau (https://www.tableau.com/learn/articles/data-visualization)
   Kirk (2016)
   

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4. University
   ofGalway.ie
   Data Representation
   Colour
   Composition
   Interaction
   Motion
   Annotation
   Kirk (2016)
   Data Vis
   Components
   

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5. Data
   Visualisation
   Data
   Art
   

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6. 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
   

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8. Data
   Visualisation
   Data
   Art
   

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9. https://elmss.nuigalway.ie/corpus/11
   Earlier Latin Manuscripts
   Tools for studying the scripts of the oldest
   Latin manuscripts
   

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10. Data
    Visualisation
    Data
    Art
    

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11. “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.”
    

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12. University
    ofGalway.ie
    Explorable
    Explanations
    

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13. 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
    

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14. University
    ofGalway.ie
    Why visualise
    data?
    

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15. University
    ofGalway.ie
    University
    ofGalway.ie
    New
    Perspectives
    

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16. Cultural Networks
    Data from interviews with cultural
    practitioners:
    • Demographic
    • Funding
    • Relationship types
    • Geographic data
    Dr. Patrick Collins – Geography @ University of Galway
    

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18. https://industrialmemories.ucd.ie/
    

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19. https://industrialmemories.ucd.ie/project/the-transfer-graph
    

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20. University
    ofGalway.ie
    University
    ofGalway.ie
    Data
    Exploration
    

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21. Prof Marie-Louise Coolahan – English @ University of Galway
    

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22. Dr. Mark Stansbury – Classics @ University
    of Galway
    

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23. https://impactlab.org
    

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24. University
    ofGalway.ie
    University
    ofGalway.ie
    Impact &
    Engagement
    

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

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

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27. https://www.nytimes.com/interactive/2016/01/07/us/drug-overdose-deaths-in-the-us.html
    

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28. https://guns.periscopic.com
    

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29. University
    ofGalway.ie
    University
    ofGalway.ie
    Complexity &
    non-expert users
    

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30. The Guardian, Feb 2015
    

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31. https://impactlab.org
    

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32. http://projects.propublica.org/louisiana/
    Data Is Plural Submissions: London Stage Database
    https://nightingaledvs.com/data-is-plural-submissions-london-stage-database/
    

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33. University
    ofGalway.ie
    Useful Tools
    Mostly web-based, free
    option, little/no programming
    

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34. http://ft.com/vocabulary
    

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35. http://ft.com/vocabulary
    

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36. http://chartmaker.visualisingdata.com
    

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37. ParseHub.com
    Code-based:
    Data Gathering,
    Cleaning & Preparation
    Mapping
    Charting
    Data Management
    Design
    Visualisation
    

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38. 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
    

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39. • 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
    

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40. Omeka Plugin
    storymap.knightlab.com
    Data Gathering,
    Cleaning & Preparation
    Mapping
    Charting
    Data Management
    Design
    Visualisation
    

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41. Code-based:
    http://datamatic.io
    www.datawrapper.de
    Data Gathering,
    Cleaning & Preparation
    Mapping
    Charting
    Data Management
    Design
    Visualisation
    

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42. Code-based:
    https://flourish.studio
    Data Gathering,
    Cleaning & Preparation
    Mapping
    Charting
    Data Management
    Design
    Visualisation
    

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43. 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
    

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44. https://juxtapose.knightlab.com
    Data Gathering,
    Cleaning & Preparation
    Mapping
    Charting
    Data Management
    Design
    Visualisation
    

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45. Code-based:
    http://hdlab.stanford.edu/palladio/
    gephi.org
    Data Gathering,
    Cleaning & Preparation
    Mapping
    Charting
    Data Management
    Design
    Visualisation
    

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46. 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
    

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47. • 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
    

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48. “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
    

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49. http://www.clean-sheet.org/
    See https://medium.com/@giorgialupi/data-humanism-the-revolution-will-be-
    visualized-31486a30dbfb
    and
    https://www.ted.com/talks/giorgia_lupi_how_we_can_find_ourselves_in_data
    

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50. • 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
    

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51. University
    ofGalway.ie
    Thank you
    david.d.kelly@universityofgalway.ie
    mooreinstitute.ie/digital-lab
    

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