Visualisation Tools to Support Data Engagement

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  • Also how you position marks on a canvas in relation to each other

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  • 1. #CASEprog Data Engagement: Visualisation Tools Tony Hirst Dept of Communication & Systems The Open University
  • 2. http://www.communities.gov.uk/documents/corporate/pdf/1318351.pdf
  • 3. From: DCLG DataViz Report
  • 4. From: DCLG DataViz Report
  • 5. http://www.improving-visualisation.org/
  • 6. My Assumptions• Your end users are developing policy• You have data that might help• There are case histories available demonstrating how visualisation techniques can help make sense of data in a way that relates to policy questions
  • 7. The goal? - to provide access to visualisation techniques to promote your data and provide a way for end users to engage with it
  • 8. “…there’s a false expectation that visualising datais easy. The JFDI attitude prevalent in other areasof digital tools for local government may havecreated false expectations on ease of access tovisualisation.”
  • 9. “Cut-and-paste” chart templates
  • 10. IBM Many Eyes Embeddable  Interactive 
  • 11. Embeddable Interactive 
  • 12. Google Fusion Tablepowered maps
  • 13. Timemaps
  • 14. “DataLiberation” (Data as such…)
  • 15. “Import * + Excel/XLS CSV Google Spreadsheet from URL”
  • 16. Google Refine
  • 17. (Data Cleansing inGoogle Refine)
  • 18. Not quite ready yet…
  • 19. Wizard for creating Googlespreadsheet powered databases
  • 20. Online interface to R/ggplot2
  • 21. ggplot() + geom_linerange(data = d1,aes(x= car, ymin = ymin,ymax = ymax)) + geom_point(data = d2,aes(x= car, y= value,shape = variable),size = 2) + opts(title="F1 2011 Korea nRace Summary Chart", axis.text.x=theme_text(angle=-90, hjust=0)) + labs(x = NULL, y = "Position", shape = "")
  • 22. [ Rstudio ]
  • 23. [ Rstudio ]
  • 24. Google Visualisation API/Chart Tools
  • 25. ScraperView
  • 26. An in-browserdata context
  • 27. .5 distinctions
  • 28. Exploratory Visualisation Vs. Presentation Graphics
  • 29. “Infographic generators”
  • 30. sort filter facet group by/aggregate join/merge
  • 31. FILTER SORTFACET Google Visualisation API/Chart Tool Components
  • 32. FilterSort
  • 33. Nested Group-By Optional grouping calculations Google Fusion Tables – Aggregate View
  • 34. Group by  Hierarchy inside
  • 35. Data FormatDatasets Datasets Data Views Data Views Data Renderings Data Data Renderings Representation  Data Shape & Structure 
  • 36. Platonicsolids
  • 37. -Tabular data-(Geo)spatial data-Temporal data-Network data-Hierarachical data
  • 38. ANY QUESTIONS??? Tony Hirst @psychemedia blog.ouseful.info