EIU’s Best City Contest taught me about the importance of data visualization and so I intend to push me to learn more about such an appealing field for any social scientist willing to improve his communication skills.
The viz (the trendy word for visualization) above is based on very simple calculations. In this analysis, a Job Offer at the Employment Centers represents the submission, by an employer, of an available position to be fulfilled by an individual registered on any Employment Center. Positions awaiting completion in late December were moved to the next year. Such data can be found here. Additionally, Labour Supply represents the average set of unemployed individuals registered in the Employment Centers every year. Instead of using absolut numbers (Labour Supply figures can be found here), I chose to do some extra computations.
To study the evolution of both variables during the decade, I decided to measure all values relatively to 1999. Therefore, in the graphic at the bottom of the visualization, when you read that 120.300 above the red bar for 2005, it means that in 2005 the labour supply registered at the Employment Centers was 120.300 individuals greater than in 1999. Impressive. Moreover, the red bar means that the job offers were lower in 2005 than in 1999; darker bars represent greater negative gaps. Just check the legend bellow the drawing.
The main graphic, the black one, shows the relation between the two variables. The Job Destruction figures are nothing more than the increase of the labour supply available in the Employment Centers liquid from new job offers (annual averages). Though very simple and inacurate, these figures show that 138.000 working positions probably disappeared in this period. Is that right?