once do thati compute the average of those data pointsor the mean by just calling oqnfbo on jodpnft which is my list of data it' just that simple let' go ahead and run that make sure you selected that code block and then you can hit the play button to actually execute itand since there is random component to these income numbersevery time run iti' going to get slightly different resultbut it should always be pretty close to  vu okso that' all there is to computing the mean in pythonjust using numpy (oqnfbomakes it super easy you don' have to write bunch of code or actually add up everything and count up how many items you had and do the division numpy meandoes all that for you visualizing data using matplotlib let' visualize this data to make it make little more sense so there' another package called nbuqmpumjcand again we're going to talk about that lot more in the future as wellbut it' package that lets me make pretty graphs in ipython notebooksso it' an easy way to visualize your data and see what' going on in this examplewe are using nbuqmpumjc to create histogram of our income data broken up into different buckets so basicallywe're taking our continuous data and discretizing itand then we can call show on nbuqmpumjcqzqmpu to actually display this histogram in line refer to the following codenbuqmpumjcjomjof jnqpsunbuqmpumjcqzqmpubtqmu qmuijtu jodpnftqmutipx