A B Testing, Data Visualization, Data Science, Analytics, Towards Data Science.
a_val,b_val,c_val = [],[],[] # initial state init_state = np.array([188969, 81356, 14210]) # transition matrix a = np.array([[ 0.89, 0.75 ,0.49], [ 0.10, 0.22 ,0.44], [ 0.01, 0.03 ,0.07]]) for x in range(10): a_val.append(init_state[0]) b_val.append(init_state[1]) c_val.append(init_state[2]) b =