Day 15 of 180 Days of Data Viz Learning #jfdi

I’m doing some form of data visualization learning for 180 days straight because I need to #JFDI.  See post explaining how and why I’m doing this.

Doing this as I’m flying on the plane from LA to NY for my move.  It is a truly odd, bizarre, and all-at-same-time amazing feeling to be moving across the country to do this type of work for a living starting Monday.

Visualization Worked On or Created: 

N/A Today

Decomposition of a Visualization:

Urban Resurgence Is A Double-Edged Sword For Democrats

  • What are the:
    • Variables (Data points, where they are, and how they’re represented):
      • Dates on x-axis
      • Annualized Pop Growth by Decade on y-axis
      • Connected Dots with different color hues representing Suburban American, Urban America, and Rural America
      • Dates on y-axis
      • Percent of Democratic chair of presidential votes share on x-axis
      • Straight lines presenting share of votes and colored dots of different hues representing Suburban American, Urban America, and Rural America
    • Data Types (Quantitative, Qualitative, Categorical, Continuous, etc.):
      • Date: Continuous
      • Annualized population growth by decade: Quantitative
    • Encodings (Shape, Color, Position): Position, Color Hue, Size Animation
      • Position, Color Hue, Lines
  • What works well here?
    • Good analysis as always by FiveThirtyAge in showing change through time
  • What does not work well and what would I improve?
    • Scaling starting at 40% is always a little odd to see and where data points where inserted seem a little arbitrary.
  • What is the data source?  Do I see any problems with how it’s cited/used?
    • US Census Bureau
  • Any other comments about what I learned?
    • The elegant simplicity.

Code Learning:


Reading and Learning Data Visualization Theoretically/Critically:



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