lincoln2013 feb
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Quick Tour:Data Journalism
Tony HirstDept of Communication and Systems
The Open UniversityVisiting Senior Research Fellow, University of Lincoln
#ddj
A quick example…
The “Lego” approach to data journalism
Wikipedia HTMLGoogleSpreadsheet=importHTML
CSV Yahoo! PipeImport CSV
KMLGoogle MapEmbedded object <embed>
#ddj in the wild…
Jan 2013
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.
DATA helps youFIND the story
DATA helps youTELL the story
BUT first you need to learn how to
listen to the stories that data can tell
… vs. a poll by the Media Standards Trust
Natural Views
ESP #newsrw “folk commonly followed by folk using the #newsrw hashtag at the start of the December 2012 event”
Facebook Likes
http://www.musik-therapie.at/PederHill/Structure&Plot.htm
Triangulation
Processing(.js)
Charts can hide numbers, but
numbers can hide distributions
Numbers & Charts
Another example…
Company
DirectorDirector
DirectorDirector
CompanyCompany
CompanyCompany
So where’s the data?
Digging for data…
“Creating” Data
“Quick Charts”Cut and paste … just add data
datawrapper.de
Plotting Networks
Gephi
ESP #newsrw “folk commonly followed by folk using the #newsrw hashtag at the start of the December 2012 event”
R
( Rstudio )
Google OpenRefine
OpenRefinehttp://mashe.hawksey.info/2012/11/mining-and-openrefineing-jiscmail-a-look-at-oer-discuss/
/via Martin Hawksey/@mhawksey
datajournalismhandbook.org
@psychemedia
blog.ouseful.info