Iwmw12 data viz taster

Data Visualisation: A TasterTony Hirst Martin HawkseyDept of Communication and Systems, JISC CETISThe Open University@psychemedia/blog.ouseful.info @mhawksey/mashe.hawksey.info

“The most interestingvisualisationsof your data will be produced by someone else”

Presentation Graphics vs. Visual Analysis

Explanatory visualizationData visualizations that are used totransmit information or a point ofview from the designer to thereader. Explanatory visualizationstypically have a specific “story” orinformation that they are intendedto transmit.Exploratory visualizationData visualizations that are used bythe designer for self-informativepurposes to discoverpatterns, trends, or sub-problemsin a dataset. Exploratoryvisualizations typically don’t havean already-known story.

Data sketches [ Amanda Cox, New York Times ]

Infographics ≠(Exploratory) Visualisation

Macroscopes

Expressions of Structure

Hierarchical data and treemaps - medalsPivot tables

O’Reilly Annual Review of Book Sales

Network structure Node and edges All nodes the same sort of thing Edges may be directed or undirected Edges may be weighted Bipartite graph – two sorts of nodes Can collapse a bipartite graph to get a new view over the data

Dynamics

TrendsAutocorrelation

@mediaczar (Accession Plot)

“Literate visualisation” (writing diagrams)

ggplot( mydata,aes(x=xVal,y=yVal)) +geom_point() +facet_wrap(~mygroup)

Data Application OutputData [Code] Output

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Iwmw12 data viz taster

by Tony Hirst

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