Weekly Data Decomposition: The Robot Rampage

Weekly data visualization decomps to keep a look out for technique and learning: The Robot Rampage from BloombergGadfly 

Decomposition of a Visualization:

  • What are the:
    • Variables (Data points, where they are, and how they’re represented):
      • Units of robots per country and by forecasted year
        • Bar chart
      • Jobs that could be automated by country, definite and theoretical
        • Stacked bar chart
      • Concentration of industrial robots per 10,000 manufacturing workers per country represented on cartogram
    • Data Types (Quantitative, Qualitative, Categorical, Continuous, etc.):
      • Quantitative, Categorical
    • Encodings (Shape, Color, Position, etc.):
      • Color hue for different forecasts on bar charts
      • Color hue for different regions
      • Sizing on cartogram and colors for region
  • What works well here?
    • Showing a narrative about the rates of robotization across different regions and the potential effect to workers
  • What does not work well and what would I improve?
    • I like these a lot – I think it would be cool to have more population charts proportional to the size of workforces in the middle graphs. It’s hard to see human impact there.
  • What is the data source?  Do I see any problems with how it’s cited/used?
    • International Federation of Robotics and the World Bank
  • Any other comments about what I learned?
    • I liked how different data sources were combined for a cohesive narrative

 

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