Python: K Means Clustering Part 2

In part 2 we are going focus on checking our assumptions. So far we have learned how to perform a K Means Cluster. When running a K Means Cluster, you first have to choose how many clusters you want. But what is the optimal number of clusters? This is the "art" part of an algorithm like this.