iwmw12 data viz taster
DESCRIPTION
TRANSCRIPT
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Martin HawkseyJISC CETIS
@mhawksey/mashe.hawksey.info
Tony HirstDept of Communication and Systems,The Open University
@psychemedia/blog.ouseful.info
Data Visualisation: A Taster
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<A QUICK NOTE>
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Your Data is Increasingly Out There
“The most interesting visualisations of your data
will be produced by someone else”
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Presentation Graphicsvs.
Visual Analysis
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Explanatory visualizationData visualizations that are used to transmit information or a point of view from the designer to the reader. Explanatory visualizations typically have a specific “story” or information that they are intended to transmit.
Exploratory visualizationData visualizations that are used by the designer for self-informative purposes to discover patterns, trends, or sub-problems in a dataset. Exploratory visualizations typically don’t have an already-known story.
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Data sketches[ Amanda Cox, New York Times ]
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Infographics≠
(Exploratory) Visualisation
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Embody a Model
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Macroscopes
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Natural Views
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Expressions of Structure
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Documents as a Database
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Structure in data - h
ierarchies
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Hierarchical data and treemaps - medals
Pivot tables
IBM Many Eyes
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O’Reilly Annual Review of Book Sales
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Network structure
All nodes the same sort of thing
Bipartite graph – two sorts of nodesCan collapse a bipartite graph to get a new view over the dataStru
cture in data - graphs
Node and edges
Edges may be directed or undirected
Edges may be weighted
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Dynamics
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aka “Seasonal Subseries”
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Trends
Autocorrelation
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(Accession Plot)
@mediaczar
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Follower count nonsense
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Who talks to whom
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“Literate visualisation”(writing diagrams)
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GraphViz
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ggplot( mydata,aes(x=xVal,y=yVal))
+geom_point() +facet_wrap(~mygroup)
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Data Application Output
Data [Code] Output