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Open Data Learning Summit: Storytelling with Data - Visual Analytics and Library Data

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Presentation slides for D. Westbrook from the Storytelling with Data panel discussion, Open Data Learning Summit.

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Open Data Learning Summit: Storytelling with Data - Visual Analytics and Library Data

  1. 1. Storytelling with Data:Visual Analytics and Library Data Open Data Learning Summit Danielle Westbrook @dwattersw
  2. 2. What is Visual Analytics (VA)?• Analytic reasoning enabled through interactive data visualizations – Explore data through the visual – Synthesize large amounts of data, often from various sources – Discover relationships and relevancies amongst data entities in a non-linear manner
  3. 3. “Detecting the expected, and discovering the unexpected”– Jim Thomas, Founding NVAC Director Background photo: http://www.flickr.com/photos/luc/5418037955/
  4. 4. Storytelling with data isn’t just about the end product…- Involves exploring your data- Uncovering new insights by interacting with your data: building, questioning and changing your visualizations This slide was added to the presentation after the Summit to cover points from my speaking notes.
  5. 5. VA Application for Library Data• Analyzed circulation and in-house use data by branch at UBC Library during 8 month period• Datasets used were not open, but could be… – All anonymized and aggregated• Project started in Dr. Lemieux’s VA class (LIBR514F) @ SLAIS• Afterwards, I incorporated VA into a UBC Library stakeholder report for the In-House Use pilot
  6. 6. VA Application for Library Data• 10 UBC branches participated in the In-House Use pilot – one branch logged upwards of 7000 instances of in-house use in just one month• Before this pilot, UBC Library was not gathering in-house use in a manner that leant itself to analysis• Lots of potential for new discovery, and to better understand how the collection is used This slide was added to the presentation after the Summit to cover points from my speaking notes.
  7. 7. Application of VAAnalytic Tasks1. Generate an overview of circulation and in- house use2. Examine in-house use by Library of Congress class and subclass3. Examine class-level in-house use based on total circulation
  8. 8. VA Tool Tableau • Data visualization software that works well with tabular data • Interactive dashboard lets you drag and drop to change your analysis of the data • Easy to use and not limited • Tableau = amazing.*Tableau authorized the use of screenshots from their desktop program for this presentation.
  9. 9. Task 1: In-House Use and Circulation Overview . Circulation = Blue In-House Use = Orange
  10. 10. Task 1: Area Chart- This view displays peaks and valleys in the data (higher and lower periods of in-house use)- Easy to compare rise and fall of use between the two data types- Reveals that by tracking in-house use, the Library was able to capture an additional 25% more use- Difficult to compare totals in this visual… This slide was added to the presentation after the Summit to cover points from my speaking notes.
  11. 11. Task 1 Continued…
  12. 12. Task 1: Continuous Line Graph- In this visual, it is easier to compare in-house to circulation use by week- The cases where in-house is greater or closer to circulation totals is more evident- This screenshot also shows you the dashboard in Tableau, and how you can adjust the measures and dimensions of your visual This slide was added to the presentation after the Summit to cover points from my speaking notes.
  13. 13. Task 2: In-House Use by LC Class
  14. 14. Task 2 continued: In-House Use by LC Subclass
  15. 15. Task 3: In-House Use by Circulation
  16. 16. Task 3: Continuous Line Graph- My last analytic task was to visual in-house use based on whether an individual item has also circulated (since 2004, when the current ILS was implemented)- From this visual, we can see that most instances of in-house use were of items that have little or zero circulation (reference and journal use was removed from this visual) This slide was added to the presentation after the Summit to cover points from my speaking notes.
  17. 17. Task 3 Continued: In-House byClass and Use
  18. 18. Insight from VA Application applied…http://api.imapbuilder.net/1.0/map/20873/?s=a 7723831f962cd3c27aedb04f7b2c27c- The heat map visual shows in-house use mapped over a library floor plan - The darker the shade of red, the greater the number of instances of in-house use - Hover over the heated areas for a display of the percentage of in-house use that involves items that have not circulated - This is a sample of the areas with the greatest in- house use, and does not reflect all in-house use
  19. 19. Screenshot of In-House Use Heat Map (not interactive)
  20. 20. Visual Analysis of In-House Use Data- When in-house use is analyzed alongside circulation data, and data collected through qualitative studies such as surveys and focus groups, the Library can gain a better understanding of how patrons use both library materials and the physical library space.- Library space can be redesigned to help facilitate how patrons use the resources there. This slide was added to the presentation after the Summit to cover points from my speaking notes.
  21. 21. Thanks very much! Danielle Westbrookdanielle.westbrook@gmail.com @dwattersw Background photo: http://www.flickr.com/photos/luc/5418037955/

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