Day 98 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.

Realizing it’s hard for to motivate myself to do any serious work on Saturday and tend to a lot better if I give myself day of break per week on things in general.  Saturday (and maybe some Suns) will be decomp days (with some back-to-basics coding), which I haven’t done in awhile that was really helpful.

Decomposition of a Visualization:

BBVA Tourism

  • What are the:
    • Variables (Data points, where they are, and how they’re represented):
      • Transactions, local stats, trends, tourism weight, tourist travels on x-axis as a nav bar.
      • Regions on geo map
      • Lines representing routes
      • Trends with time series and donut chart
      • Tooltips for figures
    • Data Types (Quantitative, Qualitative, Categorical, Continuous, etc.):
    • Encodings (Shape, Color, Position, etc.):
      • Shape on map
      • Color
      • Position for lines
  • What works well here?
    • Interactivity and having a lot of data without overwhelming user.
  • What does not work well and what would I improve?
    • Navigation menus seem like an afterthought after all the great work that had been done.
  • What is the data source?  Do I see any problems with how it’s cited/used?
    • BBVA credit card transaction analysis.  Not a lot of transparency, but still very interesting.
  • Any other comments about what I learned?
    • Great use of using a CartoDB map as springboard for lots of visualized information.
Code Learning:

Treehouse Back-to-Basics (again, not taking notes for basic review):

Going through Front-End WebDev


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