#CASEprog Data Engagement:     Visualisation Tools             Tony Hirst Dept of Communication & Systems        The Open ...
http://www.communities.gov.uk/documents/corporate/pdf/1318351.pdf
From: DCLG DataViz Report
From: DCLG DataViz Report
http://www.improving-visualisation.org/
My Assumptions• Your end users are developing policy• You have data that might help• There are case histories available  d...
The goal?  - to provide access to visualisation  techniques to promote your data and  provide a way for end users to engag...
“…there’s a false expectation that visualising datais easy. The JFDI attitude prevalent in other areasof digital tools for...
“Cut-and-paste” chart templates
IBM Many Eyes                Embeddable                 Interactive 
Embeddable Interactive 
Google Fusion Tablepowered maps
Timemaps
“DataLiberation”              (Data as such…)
“Import *   +        Excel/XLS        CSV        Google Spreadsheet  from URL”
Google Refine
(Data Cleansing inGoogle Refine)
Not quite ready yet…
Wizard for creating Googlespreadsheet powered databases
Online interface to R/ggplot2
ggplot() +  geom_linerange(data = d1,aes(x= car, ymin = ymin,ymax = ymax)) +  geom_point(data = d2,aes(x= car, y= value,sh...
[ Rstudio ]
[ Rstudio ]
Google Visualisation API/Chart Tools
ScraperView
An in-browserdata context
.5   distinctions
Exploratory Visualisation          Vs. Presentation Graphics
“Infographic generators”
sort  filter     facet       group by/aggregate         join/merge
FILTER                                SORTFACET  Google Visualisation API/Chart Tool Components
FilterSort
Nested Group-By   Optional grouping calculations   Google Fusion Tables – Aggregate View
Group by  Hierarchy inside
Data           FormatDatasets    Datasets                         Data Views                              Data Views      ...
Platonicsolids
-Tabular data-(Geo)spatial data-Temporal data-Network data-Hierarachical data
ANY QUESTIONS???          Tony Hirst            @psychemedia               blog.ouseful.info
Visualisation Tools to Support Data Engagement
Visualisation Tools to Support Data Engagement
Visualisation Tools to Support Data Engagement
Visualisation Tools to Support Data Engagement
Visualisation Tools to Support Data Engagement
Visualisation Tools to Support Data Engagement
Visualisation Tools to Support Data Engagement
Visualisation Tools to Support Data Engagement
Visualisation Tools to Support Data Engagement
Visualisation Tools to Support Data Engagement
Visualisation Tools to Support Data Engagement
Visualisation Tools to Support Data Engagement
Visualisation Tools to Support Data Engagement
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
  • Visualisation Tools to Support Data Engagement

    1. 1. #CASEprog Data Engagement: Visualisation Tools Tony Hirst Dept of Communication & Systems The Open University
    2. 2. http://www.communities.gov.uk/documents/corporate/pdf/1318351.pdf
    3. 3. From: DCLG DataViz Report
    4. 4. From: DCLG DataViz Report
    5. 5. http://www.improving-visualisation.org/
    6. 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. 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. 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. 9. “Cut-and-paste” chart templates
    10. 10. IBM Many Eyes Embeddable  Interactive 
    11. 11. Embeddable Interactive 
    12. 12. Google Fusion Tablepowered maps
    13. 13. Timemaps
    14. 14. “DataLiberation” (Data as such…)
    15. 15. “Import * + Excel/XLS CSV Google Spreadsheet from URL”
    16. 16. Google Refine
    17. 17. (Data Cleansing inGoogle Refine)
    18. 18. Not quite ready yet…
    19. 19. Wizard for creating Googlespreadsheet powered databases
    20. 20. Online interface to R/ggplot2
    21. 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. 22. [ Rstudio ]
    23. 23. [ Rstudio ]
    24. 24. Google Visualisation API/Chart Tools
    25. 25. ScraperView
    26. 26. An in-browserdata context
    27. 27. .5 distinctions
    28. 28. Exploratory Visualisation Vs. Presentation Graphics
    29. 29. “Infographic generators”
    30. 30. sort filter facet group by/aggregate join/merge
    31. 31. FILTER SORTFACET Google Visualisation API/Chart Tool Components
    32. 32. FilterSort
    33. 33. Nested Group-By Optional grouping calculations Google Fusion Tables – Aggregate View
    34. 34. Group by  Hierarchy inside
    35. 35. Data FormatDatasets Datasets Data Views Data Views Data Renderings Data Data Renderings Representation  Data Shape & Structure 
    36. 36. Platonicsolids
    37. 37. -Tabular data-(Geo)spatial data-Temporal data-Network data-Hierarachical data
    38. 38. ANY QUESTIONS??? Tony Hirst @psychemedia blog.ouseful.info
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