Friday, August 3, 2018

Data visualization

Data visualization can be an effective way to get the 3 or 4 messages of your manuscript across very quickly. Owing to this though, data visualizations can be very tough to do well, and you can spend a lot of time messing with the small details.

In general, try and keep things simple - what is the easiest and most convincing way to make your point?

Tables are really tough - when you have a table in mind, think in columns (most journals have 2-3 columns per page), and look at what the journal does in their previous publications

For figures, some guidance from Dr. Matthew Kay at the University of Michigan:
  • Locality
  • Order
  • Layering
  • Grids and synchronized axes
  • Obey the pen
  • Treat visual attributes like adjectives
  • Color
From this article by data visualization journalist Rosamund Pierce

For plotting in R:
Some plotting tips:

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