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.