what multiple do you choosewellyou kind of have to use common senseyou knowthere' no hard and fast rule as to what is an outlier you have to look at your data and kind of eyeball itlook at the distributionlook at the histogram see if there' actual things that stick out to you as obvious outliersand understand what they are before you just throw them away dealing with outliers solet' take some example codeand see how you might handle outliers in practice let' mess around with some outliers it' pretty simple section little bit of review actually if you want to follow alongwe're in vumjfstjqzoc sogo ahead and open that up if you' likejnqpsuovnqzbtoq jodpnft oqsboepnopsnbm jodpnft oqbqqfoe jodpnftjnqpsunbuqmpumjcqzqmpubtqmu qmuijtu jodpnftqmutipx we did something very similarvery early in the bookwhere we created fake histogram of income distribution in the united states what we're going to do is start off with normal distribution of incomes here that are have mean of $ , per yearwith standard deviation of , ' going to create , fake americans that have an income in that distribution this is totally made-up databy the wayalthough it' not that far off from reality theni' going to stick in an outlier call it donald trumpwho has billion dollars we're going to stick this guy in at the end of our dataset sowe have normally distributed dataset around $ , and then we're going to stick in donald trump at the end