Useful websites

• Visualising Data’s “Resources” index
• Matt Brehmer’s Monster List Of Resources (from UBC)
• OHSU Communications Office (Graphic Design services, etc.)
• HelpMeViz (crowdsourced data visualization help)

Blogs

• The Functional Art
• FlowingData
• The Why Axis
• eagereyes
• Visua.ly’s blog
• Junk Charts
• WTF Visualizations
• setosa.io (nifty d3 demos!)

References & Examples

• R Graph Compendia/Catalogs:
• A Compendium of Clean Graphs in R, by Eric-Jan Wagenmakers and Quentin F. Gronau (note: in “Base R”)
• R Graph Catalog, by Joanna Zhao and Jennifer Bryan (note: in ggplot2)
• Markdown Tutorial
• Summer 2016 ggplot OHSU Data Jamboree
• A useful tutorial on using the Seaborn Python library for visualizing distributions.
• A Dramatic Tour through Python’s Data Visualization Landscape (including ggplot and Altair)
• The Washington Post’s “demographic tug-of-war” visualization is a lovely illustration of how not to appropriately use color saturation and hue to encode information, and also has misleading axes (both in unit spacing and direction)!
• The New York Times' interactive “The 1,024 Ways Clinton or Trump Can Win the Election” is a great use of interactivity as a data exploration tool.
• Also from the NYT, “Your Surgeon Is Probably a Republican, Your Psychiatrist Probably a Democrat” makes excellent use of a graphs and charts to tell a very clear story. Also note their detailed description at the end of the article of how the data were collected!
• The Washington Post’s “One Hundred Years of Hurricanes” is a nice example of small-multiples cartography along with color.
• The New York Times' “What Good Marathons and Bad Investments Have in Common” illustrates a good use of contrast and preattentive processing (plus is a very interesting story!).
• From Our World In Data, a nice example of using color and saturation to highlight certain information, in a terrifying plot about Life Expectancy vs. Health Expenditure Over Time.
• Myriahedral map projections are interesting.
• Tilegrams are a good alternative to a cartogram.
• We do not recommend making bivariate chloropleth maps, but if you must, here’s a good tutorial on how to do it and what some of the considerations are.

Resources & Tools

• ColorBrewer
• Adobe Kuler
• Colorgorical
• Photochrome
• Lyra
• Packages:
  • janitor
  • Vincent (Python-to-Vega generation library)
  • mpld3, an implementation of matplotlib on top of d3.js.