Reference at the Metcalf 2018: Digging into data visualisation
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This document discusses data visualization and provides tips for creating effective visualizations. It defines visualization as using graphics to help understand information. Effective visualizations (1) show the data clearly, (2) induce thoughtful analysis of the content rather than just the presentation, and (3) reveal patterns and insights. Good techniques include using natural mappings, highlighting key points, enabling clear comparisons, and employing consistent conventions. Color should only be used if it adds meaning. The document recommends several tools for creating visualizations and references for developing related skills.
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Reference at the Metcalf 2018: Digging into data visualisation
- 1. Kate LeMay Digging into Data Visualisation Senior Research Data Specialist 17 May 2018
- 2. What is a visualisation? A visual explanation Anything that helps us understand something by looking at it
- 6. Principals for graphical displays Edward Tufte The Visual Display of Quantitative Information (second edition) https://www.edwardtufte.com/tufte/books_vdqi ⢠Show the data ⢠Induce the viewer to think about the substance rather than the methodology ⢠Avoid distorting what the data have to say ⢠Present many numbers in a small space ⢠Make large datasets coherent ⢠Reveal the data at several levels of detail from a broad overview to the fine structure
- 7. Present many numbers in a small space 640 x 480 x 117 = 35,942,400
- 8. Tell a story
- 10. Tell a story American football injuries https://blog.capterra.com/free-and-open-source-data-visualization-tools/
- 11. Tell a story Hans Rosling's 200 Countries, 200 Years, 4 Minutes - The Joy of Stats - BBC Four https://www.youtube.com/watch?v=jbkSRLYSojo&t=30s
- 12. What story could you tell with visualisation? ⢠Services provided ⢠Reporting ⢠To funding body ⢠Internal (decision making) ⢠âAdvertisingâ to customers ⢠Data your council owns ⢠e.g. âUnderstanding your councilâ from Audit office of NSW ⢠New service delivery models: four councils using open data for service redesign (UK) ⢠NSW Government data https://data.nsw.gov.au/data/dataset
- 13. Some good techniques to use Natural mappings
- 14. Highlight relevant information Some good techniques to use
- 15. Some good techniques to use Make comparisons clear
- 16. Some good techniques to use Make the scale clear
- 17. Colour should add meaning Some good techniques to use
- 18. âŚand when colour doesnât add meaning http://www.investmentzen.com/data-visualization/average-household-debt-in-america/
- 19. Some good techniques to use Use conventions
- 20. Some tools for data visualisation ⢠Excel, Google Charts, Google Fusion Tables, R, Python, Tableau ⢠Open data visualisation tools ⢠Some simple tips on how to make your charts and graphs look good ⢠Just google data visualisation! SO MANY RESOURCES
- 21. Some helpful references ⢠Developing data visualisation literacy ⢠Data Visualization: A Guide to Visual Storytelling for Libraries. Edited by Lauren Magnuson, editor. . Lanham, MD: Rowman & Littlefield; 2016. 211 p. ISBN: 978-1-4422-7110-4. ⢠So you want to be a Data Visualization Librarian? ⢠How the Brooklyn Public Library used data visualization to build a better library
- 22. Interested? Want more data skills? Library Carpentry https://librarycarpentry.github.io/ http://www.ands.org.au/news-and-events/share-newsletter/share-24/the-library-carpenter Data savvy librarians gain familiarity with the datasets, understand technical methods and techniques, and speak multiple disciplinary languages allowing them to work more closely with researchers or the public. http://d-scholarship.pitt.edu/33891/1/Shifting%20to%20Data%20Savvy.pdf
- 23. Senior Research Data Specialist kate.lemay@ands.org.au Kate LeMay With the exception of third party images or where otherwise indicated, this work is licensed under the Creative Commons 4.0 International Attribution Licence. ANDS, Nectar and RDS are supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program (NCRIS). With thanks to Martin Schweitzer http://www.ands.org.au/news-and-events/presentations/2018 http://schweitzer.id.au/visualisation/#1
Hinweis der Redaktion
- One of the things that makes the map of the London Underground a good visualization is that is shows the relationship between the different objects, in this case how to get from one point to another. Interestingly the designed of this visualization realized that when youâre underground the exact direction of the next station is not as important as the relationship to the one youâre in. So London is not laid out on a perfect grid like this suggests, but thatâs OK because the information is still understood.
- Summary statistics. From this we would be tempted to say theyâre all the same.
- 640 x 480 grid cells 117 years of data per cell
- Wind rose from Melbourne airport. Most winds are northerly. As we go out in the telescope it shows us stronger winds. North is pointing up, which is where we would naturally expect it to be.
- Review on the data visualization book: âThis work is incredibly useful for librarians who want to showcase their roles in a number of areas including research activity, teaching of information literacy, and collection development. It would be of most use to public, academic, and special librarians in their work to demonstrate the services that they provide to users. While other comparable data visualization books exist, none is specific to libraries. As libraries become more dependent on data to monitor usage and justify services, this book fills a gap in the literature by addressing data visualization in a library context.â https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5764581/