Isolating Patterns Based on Conditions
In my Marginal Distributions article, I illustrated how to leverage a data set to isolate two marginal distributions in comparison with the grand total of all distributions, to arrive at specific distributions.
This concept illustrates the concept of a conditional distribution in that a distribution is isolated based on a condition of its values.
For example, the first distribution isolated was the lowest Age Group (26-30) and highest Age Group (61-70).
In the final example, the Years distribution with the highest value (34%) was isolated.
These two examples illustrate how to use a condition (Age Group and Year) to isolate values.