Circular correlation coefficient is like a measure of how well two sets of data match up with each other. For example, if you were looking at two sets of data that were a line graph or a bar graph, circular correlation coefficient would tell you how closely the data matches. A value of 1 would show a perfect match, while a value of 0 would show no match at all. Put another way, circular correlation coefficient is a measure of how well two sets of data relate to each other.