These can be classified in two other categories:
There are different situations that one can be confronted with:
- Variables are only inputs (e.g. accelerator pedal angle)
- Variables are only outputs (e.g. stock values, survey results)
- Both inputs and outputs are present
Let us see an example, the DJIA Index. The Complexity Map is illustrated below.
The corresponding CP is this:
This is a case in which it is impossible, for example, to say if it is the price of Home Depot stocks that drives the price of Citigroup stocks or vice-versa. What does it mean “to drive”? The relationship in question is shown below:
In the case in question we could say that Citigroup dominates the DJIA Index even though market capitalization or stock value could hint something different. In summary, we could conclude that a Complexity Profile may help solve the eternal issue of causality (which seems to trouble humanity so much).