Unvote
Visualising	
  the	
  correlation	
  of	
  the	
  Council’s	
  voting	
  
behaviour	
  with	
  state	
  development	
  indicators.
All	
  photos	
  kindly	
  CC0-­‐licensed	
   by	
  Pexels.com
First,	
  a	
  false	
  start
• Thinking	
  of	
  the	
  discerning	
  consumer,	
  we	
  tried	
  to	
  combine	
  data	
  on
• Food	
  additives
• Pesticides
• Food	
  and	
  feed	
  alerts
• But	
  couldn’t	
  find	
  any	
  use	
  for	
  the	
  data
• Because	
  there’s	
  no	
  data	
  on	
  ingredients	
  in	
  different	
  food	
  products
• Cross-­‐referencing	
  would	
  have	
  been	
  a	
  pain
• And	
  a	
  manual	
  search	
  wouldn’t	
  have	
  been	
  that	
  usable
• We	
  decided	
  to	
  turn	
  to	
  another	
  direction
Bringing	
  context	
  to	
  Council	
  voting	
  behaviour
• There’s	
  nothing	
  new	
  in	
  visualising	
  Council	
  voting	
  behaviour	
  per	
  se
• Dataset	
  available	
  from	
  the	
  General	
  Secretariat
• The	
  Member	
  States	
  are	
  different,	
  but	
  does	
  this	
  affect	
  their	
  voting?
• Are	
  economic	
  considerations	
  a	
  factor?
• Does	
  voting	
  behaviour	
  change	
  according	
  to	
  policy	
  sector?
• Do	
  large	
  contributions	
  to	
  development	
  aid	
  signal	
  a	
  more	
  international	
  stance?
• We	
  don’t	
  imply	
  causality,	
  but	
  we	
  deliver	
  correlation!
• A	
  total	
  of	
  1420	
  series	
  in	
  the	
  World	
  Development	
  Indicators,	
  courtesy	
  of	
  the	
  
WBO	
  (though	
  not	
  all	
  have	
  meaningful	
  data	
  for	
  our	
  purposes)
• We	
  decided	
  to	
  offer	
  a	
  tool	
  for	
  visualising	
  correlations	
  of	
  votes	
  to	
  indicators
• And	
  we	
  do	
  it	
  on	
  two	
  platforms
Tech	
  specs	
  
and	
  screencaps
HTML	
  +	
  JS
Java	
  Swing	
  +	
  MySQL
Use	
  cases	
  and	
  further	
  development
• Researchers,	
  journalists,	
  general	
  public
• Adding	
  more	
  (and	
  up	
  to	
  date)	
  datasets	
  from	
  EuroStat
• Comparison	
  of	
  multiple	
  indicators
• More	
  options	
  for	
  zooming	
  in	
  to	
  relevant	
  voting	
  data	
  (policy	
  area	
  etc)
• Better	
  country	
  plotting	
  in	
  votes
• Displaying	
  indicator	
  values
• Export	
  options	
  for	
  the	
  visualisation

Unvote - Diplohack Brussels

  • 1.
    Unvote Visualising  the  correlation  of  the  Council’s  voting   behaviour  with  state  development  indicators. All  photos  kindly  CC0-­‐licensed   by  Pexels.com
  • 2.
    First,  a  false  start • Thinking  of  the  discerning  consumer,  we  tried  to  combine  data  on • Food  additives • Pesticides • Food  and  feed  alerts • But  couldn’t  find  any  use  for  the  data • Because  there’s  no  data  on  ingredients  in  different  food  products • Cross-­‐referencing  would  have  been  a  pain • And  a  manual  search  wouldn’t  have  been  that  usable • We  decided  to  turn  to  another  direction
  • 3.
    Bringing  context  to  Council  voting  behaviour • There’s  nothing  new  in  visualising  Council  voting  behaviour  per  se • Dataset  available  from  the  General  Secretariat • The  Member  States  are  different,  but  does  this  affect  their  voting? • Are  economic  considerations  a  factor? • Does  voting  behaviour  change  according  to  policy  sector? • Do  large  contributions  to  development  aid  signal  a  more  international  stance? • We  don’t  imply  causality,  but  we  deliver  correlation! • A  total  of  1420  series  in  the  World  Development  Indicators,  courtesy  of  the   WBO  (though  not  all  have  meaningful  data  for  our  purposes) • We  decided  to  offer  a  tool  for  visualising  correlations  of  votes  to  indicators • And  we  do  it  on  two  platforms
  • 4.
    Tech  specs   and  screencaps HTML  +  JS Java  Swing  +  MySQL
  • 5.
    Use  cases  and  further  development • Researchers,  journalists,  general  public • Adding  more  (and  up  to  date)  datasets  from  EuroStat • Comparison  of  multiple  indicators • More  options  for  zooming  in  to  relevant  voting  data  (policy  area  etc) • Better  country  plotting  in  votes • Displaying  indicator  values • Export  options  for  the  visualisation