In this Lab, we will practice in Numpy, Pandas and simple linear regression. We will use the

dataset mtcars.

In $[19]$: import pandas $aspd$

import numpy $asnp$

import matplotlib.pyplot $asplt$

In $[12]$: cars$\_$df $=$ pd$.$read$\_$csv$($filepath$\_$or$\_$buffer$=$'cars.csv$\text{'})$

cars$\_$df$.$head$()$

Out $[12]$ :

$1.$Convert the column mpg to numpy array and print the array. $(5)$

In $[1]$: #

calculate how many cars' mpg is under $15.(5)$

In

$3.$Show the models that their mpg is under $15.(10)$

In $[3]$:

$4.$Show how many unique make does the dataset have and print them out. $(10)$

In $[4]\frac{\text{:}}{b}ar($#$E)$

$5.$Show how many cars each make has. $(10)$