Using the full dataset Auto, do the following:

a$.$ Use mean $0$ and groupby to find the mean of mpg by cylinders.

b$.$ What pattern do you see? Are there any groups that break that pattern?

from ISLP import load$\_$data

Auto $=$ IDad$\_$data $($ 'Auto' $)$

Auto.columns

## describe the data

Auto.describe$()$

$[6]$

$\backslash$table$[[\backslash$table$[[$from ISLP import load$\_$data$],[$Auto $=$ Ioad$\_$data$(\text{'}$Auto$\text{'})],[$Auto$.$columns$],[$## describe the data$],[$Auto$.$describe$()]]],[,$mpg$,$Cylinders,displacement,horsepower,weight,acceleration,year,origin$],[$count$,392\mathrm{.}0000000,392\mathrm{.}000000,392\mathrm{.}000000,392000000,392\mathrm{.}000000,392\mathrm{.}0000000,392\mathrm{.}000000,392\mathrm{.}000000],[$mean$,23\mathrm{.}445918,{5\mathrm{.}471933}^{\text{'}\text{'}\text{'}},194\mathrm{.}411990,104\mathrm{.}469388,2977\mathrm{.}584184,15\mathrm{.}541327,75\mathrm{.}979592,1\mathrm{.}576531],[$std$,7\mathrm{.}805007,1\mathrm{.}705783,104\mathrm{.}644004,38\mathrm{.}491160,849\mathrm{.}402560,2\mathrm{.}758864,3\mathrm{.}683737,0\mathrm{.}805518],[min,9\mathrm{.}000000,3\mathrm{.}0000000,68\mathrm{.}000000,46\mathrm{.}000000,1613\mathrm{.}000000,8\mathrm{.}0000000,70\mathrm{.}000000,1\mathrm{.}000000],[25\%,17\mathrm{.}000000,4\mathrm{.}000000,105\mathrm{.}000000,75\mathrm{.}000000,2225\mathrm{.}250000,13\mathrm{.}775000,73\mathrm{.}000000,1\mathrm{.}000000],[50\%,22\mathrm{.}750000,4\mathrm{.}000000,151\mathrm{.}0000000,93\mathrm{.}500000,2803\mathrm{.}500000,15\mathrm{.}500000,76\mathrm{.}000000,1\mathrm{.}000000],[75\%,$momor,$30cm,27575rmm,125mmm,36175mm,m,,]]$