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Quick Tour:
Data Journalism




                                              Tony Hirst
                        Dept of Communication and Systems
                                      The Open University
                  Visiting Senior Research Fellow, University of Lincoln
#ddj
A quick example…

The “Lego” approach
 to data journalism
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Google
                                                   Yahoo! Pipe
Wikipedia       HTML    Spreadsheet        CSV
                                                   Import CSV
                        =importHTML



            Embedded
                       <embed>        Google Map    KML
            object
#ddj in the
  wild…
Jan 2013
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Explanatory visualization
Data 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 visualization
Data 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 you
FIND the story

DATA helps you
TELL 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
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“folk commonly followed by folk
using the #newsrwhashtag at the     ESP #newsrw
start of the December 2012 event”
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Facebook Likes
http://www.musik-therapie.at/PederHill/Structure&Plot.htm
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Charts can hide
  numbers, but
numbers can hide
  distributions
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Numbers
& Charts
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Another example…
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Company




          Director
           Director
             Director
               Director




                          Company
                           Company
                            Company
                             Company
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So where’s
 the data?
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Digging for
  data…
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“Creating”
   Data
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“Quick Charts”
Cut and paste … just add data
datawrapper.de
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Plotting Networks



Gephi
“folk commonly followed by folk
using the #newsrwhashtag at the     ESP #newsrw
start of the December 2012 event”
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( Rstudio )
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GoogleOpenRefi
      ne
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http://mashe.hawksey.info/2012/11/mining-and-openrefineing-jiscmail-a-look-at-oer-discuss/

/via Martin Hawksey/@mhawksey
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@psychemedia

blog.ouseful.info

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Hinweis der Redaktion

  1. Some scene setting about what I mean by “flow”…
  2. Suppose we have a table of numerical data associated with placenames on something like Wikipedia. How do we knock up a quick map view of the data?
  3. The top, blue strip shows the gear (1 to 7); the green strip shows the throttle pedal depression (0-100%), and the red strip shows the brake (0-100%). The light blue strip is a composite of the previous three strips. The whiter the pixel, the closer it is to 100% throttle in 7th gear with no braking.The bottom two traces show the longitudinal and lateral g-force respectively. For the longitudinal trace, red shows braking – being forced into the steering wheel; green shows acceleration – being forced back into your seat. You’ll see the greatest g-force under braking occurs when the brakes are slapped full on… (the red bits in the third and fifth traces line up). For the latitudinal g-force, the red shows the driving being flung to the left (i.e. right hand corner), the green shows them being pushed out to the right.
  4. Do we have a hashtag for the workshop?