One rarely-used graphic is the ternary (or triaxial) plot, which is a very useful way of examining a tripartite decomposition of a variable. For example, the graph in this post displays the composition (which I constructed in Stata using Nicholas J. Cox's commands) of an economy over time. Note that the three percentages add to 100 (or, equivalently, the three proportions add to 1).
It's a bit surprising that this graph appears so infrequently; it would appear to be especially useful for political scientists showing voting fractions over time (with the three most prominent parties for each axis), economists examining the composition of an economy (such as above), or sociologists examining over-time trends in any three-part categorical variable (such as "agree," "disagree," or "neutral" on a question of values or attitudes).
However, note that simply because a graph looks like it's a ternary plot does not make it one! For example, Junk Charts dissects this pseudo-ternary plot in the New York Times.
- Physics Envy
- Irving Louis Horowitz
- Why are Economists so (Consistently) Led Astray Ab...
- Popularity of Programming Languages
- Big Science and Sociology
- Statistical Lexicon
- McKinsey on Big Data
- Inequality: Everyone's Thinking About It
- Universal Limits in High-Dimensional Statistics
- Rethinking Tragedy and Success
- Why Inequality Matters
- Inequality "Crisis" of Marriage
- Corporate Culture Revisited
- Misc. Links
- MIT Inequality Talk
- Scatter Plot Matrix in R
- Taxes and Inequality
- 3-D Scatter Plots Redux
- Checking Weather in Stata
- Is Everything Culture?
- Ternary (or Triaxial) Plots
- Causality and Ethnography
- The Mystery of Power-Law Distributions
- Visualizing a Correlation Table
- Why Models are Not Data
- R versus Stata Redux
- Culture and Poverty
- Values and Politics
- ▼ March (29)