go ahead and select the code block and hit play it will actually create new graph for us as followsif you're not familiar with histograms or you need refresherthe way to interpret this is that for each one of these buckets that we've discretized our data into is showing the frequency of that data sofor examplearound , -ish we see there' about data points in that neighborhood for each given range of values there' lot of people around the , markbut when you get over to outliers like , there is not whole lotand apparently there' some poor souls that are even in debt at - , but againthey're very rare and not probable because we defined normal distributionand this is what normal probability curve looks like againwe're going to talk about that more in detail laterbut just want to get that idea in your head if you don' already know it calculating median using the numpy package alrightso computing the median is just as simple as computing the mean just like we had numpy nfbowe have numpy nfejbo function as well we can just use the nfejbo function on jodpnftwhich is our list of dataand that will give us the median in this casethat came up to $ , which isn' very different from the mean of $ againthe initial data was randomso your values will be slightly different oqnfejbo jodpnft