Day 118 of 180 Days of Data Viz Learning #jfdi

I’m doing some form of data visualization learning for 180 days because I need to #JFDI.

See post explaining how and why I’m doing this.

Decomposition of a Visualization:

Counting the Hours This is How You and America Spend Time Each Day

  • What are the:
    • Variables (Data points, where they are, and how they’re represented):
      • Hours spent on x-axis
      • Percentage of people y-axis
      • Color hue for selector
      • Histogram
    • Data Types (Quantitative, Qualitative, Categorical, Continuous, etc.):
      • Continuous
      • Categorical
    • Encodings (Shape, Color, Position, etc.):
      • Color Hue
      • Histogram bars
  • What works well here?
    • The narrative accompanying the bars is what is making things interesting.
  • What does not work well and what would I improve?
    • Only nitpick is wondering why he selected the activities to focus on that he did – where there more categories?
  • What is the data source?  Do I see any problems with how it’s cited/used?
    • BLS statistics data using a system from Minnesota Population Center
  • Any other comments about what I learned?
    • Admiration here for the simple and consistent branding of Nathan Yau’s blog.
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