let' try to visualize our three main features (rfand mon three-dimensional plot to see if we can understand any interesting patterns that the data distribution is showing from mpl_toolkits mplot import axes fig plt figure(figsize=( )ax fig add_subplot( projection=' 'xs =customer_history_df recency_log ys customer_history_df frequency_log zs customer_history_df amount_log ax scatter(xsyszss= ax set_xlabel('recency'ax set_ylabel('frequency'ax set_zlabel('monetary'figure - customer value dataframe the obvious patterns we can see from the plot in figure - is that people who buy with higher frequency and more recency tend to spend more based on the increasing trend in monetary value with corresponding increasing and decreasing trend for frequency and recencyrespectively do you notice any other interesting patterns