Day 88 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.
Reading and Learning Data Visualization Theoretically/Critically:

Reading Nathan Yau’s book Visualize This

108-127 Visualizing Patterns Over Time

Three Takeaways:

  • “Sometimes it makes more sense to use points instead of bars.  They use less space and because there are no bins, points can provide a better feeling of flow from one point to the next” p 112
  • “One of the drawbacks of the standard line plot is that it implies steady change from point A to point B.  That’s about right wit ha measure like world population, but some things stay at a value for a long time and then all of a sudden see a boost or a decline.  Interest rates, for example, can stay the same for months and then drop in a day.”  A step chart is better for this kind of data. p 123
  • Use LOESS (locally weight scatterplot smoothing) to fit a curve to data to cut through noise. p 127
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