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Intro	
  to	
  Data	
  Journalism
Damian	
  Radcliffe	
  
16th November	
  2015
Damian	
  Radcliffe	
  /	
  Reporting	
  II	
  /	
  
11th November	
  2015
Greater	
  consciousness	
  of	
  the	
  power	
  of	
  data
In	
  journalism,	
  it’s	
  nothing	
  new
How	
  often	
  does	
  a	
  map	
  change	
  the	
  
world?	
  In	
  1854,	
  one	
  produced	
  by	
  Doctor	
  
John	
  Snow,	
  altered	
  it	
  forever.
In	
  the	
  world	
  of	
  the	
  1850s,	
  cholera	
  was	
  
believed	
  to	
  be	
  spread	
  by miasma	
  in	
  the	
  
air,	
  germs	
  were	
  not	
  yet	
  understood	
  and	
  
the	
  sudden	
  and	
  serious	
  outbreak	
  of	
  
cholera	
  in	
  London's	
  Soho was	
  a	
  mystery.
So	
  Snow	
  did	
  something	
  data	
  journalists	
  
often	
  do	
  now:	
  he	
  mapped	
  the	
  cases.	
  The	
  
map	
  essentially	
  represented	
  each	
  death	
  
as	
  a	
  bar,	
  and	
  you	
  can	
  see	
  them	
  in	
  the	
  
smaller	
  image	
  above.
http://www.theguardian.com/news/datablog
/2013/mar/15/john-­‐snow-­‐cholera-­‐map
Data	
  journalism	
  at	
  the	
  Guardian:	
  
what	
  is	
  it	
  and	
  how	
  do	
  we	
  do	
  it?
http://www.theguardian.com/news/datablog/2011/jul/28/data-­‐journalism
5	
  x	
  Examples
Battling	
  Infectious	
  Diseases	
  in	
  the	
  20th	
  Century:	
  
The	
  Impact	
  of	
  Vaccines
The	
  Wall	
  Street	
  Journal:	
  http://graphics.wsj.com/infectious-­‐diseases-­‐and-­‐vaccines/
Rents	
  in	
  Berlin
Source:
https://twitter.com/juliustroeger/sta
tus/562639674322464769/photo/1
Story:	
  
http://www.morgenpost.de/interakti
v/mieten/article136875377/So-­‐stark-­‐
steigen-­‐die-­‐Mieten-­‐in-­‐Berlins-­‐
Kiezen.html?config=interactive
Use	
  Google	
  Translate	
  to	
  look	
  at	
  this	
  
story	
  if	
  you	
  don’t	
  read	
  German!
How	
  to	
  Choose	
  Where	
  to	
  Get	
  Treatment?	
  
The	
  Ranking	
  of	
  Swiss	
  Hospitals
Story:	
  
(in	
  French)
http://www.rts.ch/i
nfo/suisse/7083876
-­‐comment-­‐choisir-­‐
ou-­‐se-­‐faire-­‐soigner-­‐
le-­‐classement-­‐des-­‐
hopitaux-­‐
suisses.html
Graphic:	
  Key	
  data	
  behind	
  Sir	
  Alex	
  Ferguson’s	
  
25	
  years	
  at	
  Old	
  Trafford
http://www.telegraph.co.uk/news/interactive-­‐graphics/graphic-­‐of-­‐the-­‐day/8865692/Graphic-­‐Key-­‐
data-­‐behind-­‐Sir-­‐Alex-­‐Fergusons-­‐25-­‐years-­‐at-­‐Old-­‐Trafford.html
World’s	
  Fastest	
  
Lifts	
  Race	
  to	
  the	
  
Top	
  of	
  the	
  
Tallest	
  Buildings
Financial	
  Times:	
  
http://on.ft.com/1LXn2Pv #ddj
pic.twitter.com/80Az8FGOO6
Via:	
  
https://twitter.com/martinstab
e/status/641626619157815298
/photo/1
Sources,	
  Inspirations	
  and	
  Tools
4 x	
  great	
  info	
  sources
Open	
  Prism:	
  search	
  data	
  portals	
  from	
  around	
  the	
  world	
  by	
  typing	
  in	
  
one	
  keyword:	
  http://openprism.thomaslevine.com/
US	
  Local	
  Data	
  Portals:	
  lists	
  dozens	
  of	
  data	
  portals:	
  
https://github.com/sunlightpolicy/opendata/blob/master/USlocalopendataportals.csv
DataPortals.org lists	
  400+	
  data	
  portals	
  from	
  around	
  the	
  world.
US	
  Census	
  data: http://quickfacts.census.gov/qfd/index.html
See	
  how	
  the	
  pros	
  do	
  it
Los	
  Angeles	
  Times: http://www.latimes.com/local/datadesk/
Guardian:	
  http://www.theguardian.com/data
ProPublica:	
  https://www.propublica.org/data/
Quartz:	
  https://atlas.qz.com/
https://www.pinterest.com/journalismtools/data-­‐analysis-­‐scraping-­‐resources/
https://www.pinterest.com/journalismtools/infographics-­‐dataviz/
Top	
  Tips	
  re	
  potential	
  approach
http://mediashift.org/2015/06/exploring-­‐the-­‐7-­‐different-­‐types-­‐of-­‐data-­‐stories/	
  
1. NARRATE	
  CHANGE	
  OVER	
  TIME
2. START	
  BIG	
  AND	
  DRILL	
  DOWN
3. START	
  SMALL	
  AND	
  ZOOM	
  OUT
4. HIGHLIGHT	
  CONTRASTS
5. PROFILE	
  THE	
  OUTLIERS
Find	
  out	
  more
Assignment
Either:
Write	
  a	
  crime	
  story	
  (10%)	
  
+	
  a data	
  story	
  (10%)	
  
Or:
Write	
  a	
  data	
  driven	
  crime	
  
story	
  (20%)	
  
Either	
  should	
  include	
  a	
  
minimum	
  of	
  2-­‐3	
  interviews.
Timeline
• 1	
  minute	
  pitch	
  to	
  class	
  on	
  Weds (What,	
  why,	
  how)
• 2	
  minutes	
  if	
  you’re	
  doing	
  2	
  assignments
• Police	
  assignment:	
   Due	
  23:59	
  23rd Nov.
• Data	
  feature: Due	
  23:59	
  30th Nov.
• Crime	
  data	
  story:	
  	
   Due	
  23:59	
  30th Nov.
Need	
  more	
  inspiration?
This	
  exercise	
  will	
  help
• Watch	
  this	
  recent	
  clip	
  from	
  Last	
  Week	
  Tonight	
  
with	
  John	
  Oliver	
  on	
  Prisoner	
  Re-­‐entry:	
  
https://www.youtube.com/watch?v=gJtYRxH5G2k
• It	
  will	
  make	
  you	
  laugh.
• It	
  should make	
  you	
  angry.
• How	
  many	
  story	
  ideas	
  do	
  you	
  get	
  from	
  it?	
  

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Intro to Data Journalism

  • 1. Intro  to  Data  Journalism Damian  Radcliffe   16th November  2015 Damian  Radcliffe  /  Reporting  II  /   11th November  2015
  • 2. Greater  consciousness  of  the  power  of  data
  • 3. In  journalism,  it’s  nothing  new How  often  does  a  map  change  the   world?  In  1854,  one  produced  by  Doctor   John  Snow,  altered  it  forever. In  the  world  of  the  1850s,  cholera  was   believed  to  be  spread  by miasma  in  the   air,  germs  were  not  yet  understood  and   the  sudden  and  serious  outbreak  of   cholera  in  London's  Soho was  a  mystery. So  Snow  did  something  data  journalists   often  do  now:  he  mapped  the  cases.  The   map  essentially  represented  each  death   as  a  bar,  and  you  can  see  them  in  the   smaller  image  above. http://www.theguardian.com/news/datablog /2013/mar/15/john-­‐snow-­‐cholera-­‐map
  • 4. Data  journalism  at  the  Guardian:   what  is  it  and  how  do  we  do  it? http://www.theguardian.com/news/datablog/2011/jul/28/data-­‐journalism
  • 6. Battling  Infectious  Diseases  in  the  20th  Century:   The  Impact  of  Vaccines The  Wall  Street  Journal:  http://graphics.wsj.com/infectious-­‐diseases-­‐and-­‐vaccines/
  • 7.
  • 8. Rents  in  Berlin Source: https://twitter.com/juliustroeger/sta tus/562639674322464769/photo/1 Story:   http://www.morgenpost.de/interakti v/mieten/article136875377/So-­‐stark-­‐ steigen-­‐die-­‐Mieten-­‐in-­‐Berlins-­‐ Kiezen.html?config=interactive Use  Google  Translate  to  look  at  this   story  if  you  don’t  read  German!
  • 9. How  to  Choose  Where  to  Get  Treatment?   The  Ranking  of  Swiss  Hospitals Story:   (in  French) http://www.rts.ch/i nfo/suisse/7083876 -­‐comment-­‐choisir-­‐ ou-­‐se-­‐faire-­‐soigner-­‐ le-­‐classement-­‐des-­‐ hopitaux-­‐ suisses.html
  • 10. Graphic:  Key  data  behind  Sir  Alex  Ferguson’s   25  years  at  Old  Trafford http://www.telegraph.co.uk/news/interactive-­‐graphics/graphic-­‐of-­‐the-­‐day/8865692/Graphic-­‐Key-­‐ data-­‐behind-­‐Sir-­‐Alex-­‐Fergusons-­‐25-­‐years-­‐at-­‐Old-­‐Trafford.html
  • 11. World’s  Fastest   Lifts  Race  to  the   Top  of  the   Tallest  Buildings Financial  Times:   http://on.ft.com/1LXn2Pv #ddj pic.twitter.com/80Az8FGOO6 Via:   https://twitter.com/martinstab e/status/641626619157815298 /photo/1
  • 13. 4 x  great  info  sources Open  Prism:  search  data  portals  from  around  the  world  by  typing  in   one  keyword:  http://openprism.thomaslevine.com/ US  Local  Data  Portals:  lists  dozens  of  data  portals:   https://github.com/sunlightpolicy/opendata/blob/master/USlocalopendataportals.csv DataPortals.org lists  400+  data  portals  from  around  the  world. US  Census  data: http://quickfacts.census.gov/qfd/index.html
  • 14. See  how  the  pros  do  it Los  Angeles  Times: http://www.latimes.com/local/datadesk/ Guardian:  http://www.theguardian.com/data ProPublica:  https://www.propublica.org/data/ Quartz:  https://atlas.qz.com/
  • 17. Top  Tips  re  potential  approach http://mediashift.org/2015/06/exploring-­‐the-­‐7-­‐different-­‐types-­‐of-­‐data-­‐stories/   1. NARRATE  CHANGE  OVER  TIME 2. START  BIG  AND  DRILL  DOWN 3. START  SMALL  AND  ZOOM  OUT 4. HIGHLIGHT  CONTRASTS 5. PROFILE  THE  OUTLIERS
  • 19. Assignment Either: Write  a  crime  story  (10%)   +  a data  story  (10%)   Or: Write  a  data  driven  crime   story  (20%)   Either  should  include  a   minimum  of  2-­‐3  interviews.
  • 20. Timeline • 1  minute  pitch  to  class  on  Weds (What,  why,  how) • 2  minutes  if  you’re  doing  2  assignments • Police  assignment:   Due  23:59  23rd Nov. • Data  feature: Due  23:59  30th Nov. • Crime  data  story:     Due  23:59  30th Nov.
  • 21. Need  more  inspiration? This  exercise  will  help • Watch  this  recent  clip  from  Last  Week  Tonight   with  John  Oliver  on  Prisoner  Re-­‐entry:   https://www.youtube.com/watch?v=gJtYRxH5G2k • It  will  make  you  laugh. • It  should make  you  angry. • How  many  story  ideas  do  you  get  from  it?