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Visualisation Tools to Support Data Engagement
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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