Imagine you have a pie. Now, this is not an ordinary pie that you cut into equal-sized pieces. Instead, this pie is circular, and you are going to place small, identical items around the edge of the circle.
The circular uniform distribution is like the way you put your little items around the edge of your pie. You place each item at equal distances from each other, so that none are too close or too far apart. It's like putting your marbles around the perimeter of a circle, each one spaced out perfectly.
Just like how you spaced out your items around the edge of the pie, the circular uniform distribution means that within a circle, each point has an equal chance (probability) of being chosen. In other words, no part of the circle is more likely than any other part.
This type of distribution can be useful in things like probability and statistics. It helps us understand the probability of things happening in a circular pattern, and the likelihood of where things might be located within a circle.